Statistical Analysis Jobs

I am looking for an experienced freelancer with knowledge in: Power systems Transformer fault analysis Machine learning / AI MATLAB or PowerWorld simulation The goal is academic guidance and technical support for my research work. Current Stage of Research I have already prepared: Thesis proposal Initial literature review Research scope and methodology For the next supervisor meeting, I need help refining the following research components. Tasks Required 1. Updated Literature Review Assist in expanding the literature review using recent research papers (last 3–5 years) related to: Transformer fault detection AI-based predictive maintenance Machine learning for power system asset management Sources may include: IEEE Elsevier Google Scholar Springer 2. Dataset Collection Help identify ...

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

Title: I will build a customer churn prediction model using Python Description / Project Brief: Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical variables. Prepare the dataset for model training. Exploratory Data Analysis (EDA): Analyze trends and patterns in the dataset. Create visualizations to show factors affecting churn. Machine Learning Model Development: Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn. Evaluate the model using metrics like accuracy, precision, recall, and F1-score. Report & Recommendations: Provide a brief report summ...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I am preparing a full systematic review that maps all available evidence on intra-renal pressure in endourology. The manuscript must cover three key angles—how pressure is measured during endoscopic procedures, the clinical outcomes linked to different pressure levels, and the complications that arise (along with their management). To give the paper real depth, I want every relevant research design represented: clinical trials, observational studies, and case reports. The core of the work is a rigorous, reproducible search across the major medical databases (MEDLINE, Embase, Cochrane, Scopus) plus grey-literature checks. Peer-reviewed journal articles are my primary focus, but I am open to conference abstracts or book chapters whenever they fill a gap in the data landscape. After th...

I’m a consultant working with schools and childcare centers on their Child Nutrition Programs (CACFP and NSLP). I’m seeking an experienced professional to provide on-demand support with various tasks, including: * Reviewing and refining breakfast, lunch, snack, and supper menus that meet CACFP and NSLP guidelines — while still appealing to children. * Verifying menu compliance with meal pattern standards and ensuring accurate nutrition analysis. * Collecting and reviewing supporting documentation (nutrition fact labels, product formulation statements, standardized recipes) to confirm proper quantities and compliance. * Preparing and reviewing production records to accurately document portions, yields, and leftovers. * Checking daily meal counts, consolidating tallies, an...

I'm looking for a skilled data analyst, preferably with experience in the education sector, to assist in calculating long-term s projections (5+ years). This will take not more than two hours. Key tasks include: - Analyzing current numbers, historical enrollment trends, and demographic data. - Utilizing Excel for projections with specific formulas: - Linear regression - Moving averages - Growth rate calculations Ideal skills and experience: - Expertise in Excel, particularly with complex formulas and data analysis tools. - Background in education data analysis or related fields. - Strong analytical skills and attention to detail. Your insights will help us make informed decisions for the future.

I am coordinating a large-scale healthcare randomised controlled trial and, now that we are midway through data collection, I need an experienced biostatistics partner who can carry the project through to publication and simultaneously prepare a systematic review on the same topic. For the RCT you will take over live clinical-trial data streams, refine the data collection and management workflow, perform all required statistical analyses, then translate the findings into a clear manuscript-ready report and slide deck. Because the trial is already registered and governed by strict SOPs and GDPR, familiarity with GCP, REDCap (or similar), and reproducible R scripts/SAS code is essential. Alongside the trial work I also need a full systematic review following PRISMA guidelines. You will han...

I have a set of time-stamped observations and I need a robust machine-learning solution that can forecast future values with solid accuracy. The end goal is an automated prediction/forecasting model that I can retrain as new data arrives and easily integrate into a larger Python pipeline. Here’s what I need from you: • Exploratory analysis of the raw time-series data, spotting seasonality, trends, and anomalies. • Thoughtful feature engineering (lags, rolling stats, calendar effects, exogenous variables if useful). • Model selection and training – I’m open to traditional approaches such as ARIMA/Prophet as well as more advanced architectures like Gradient Boosting or LSTM; choose what performs best and explain why. • Rigorous evaluation on a ho...

I have twenty interview transcripts to be analysed in NVivo 15 for the qualitative analysis chapter of my PHD thesis which is based on sequential mixed methods. My goal is a thorough thematic analysis aimed specifically at understanding the findings that emerge across participants’ accounts. I have not set up any codes or a framework yet, so I need you to develop an inductive codebook, apply it consistently to all transcripts, and surface the key relational themes that matter. You will work need to have access and work directly in NVivo 15, delivering the fully coded project file along with a concise codebook that explains each theme and its criteria. A short analytic memo that synthesises how these themes connect and what they reveal about relationships in the data will complete th...

I’m running several data-science driven market research projects and need a sharp management trainee who can keep the wheels turning while digging deep into consumer behaviour. Your main focus will be consumer research—specifically behavioural patterns—so expect to be involved in everything from shaping survey instruments and sourcing secondary data to translating raw numbers into clear, decision-ready narratives for stakeholders. Day-to-day you’ll help me: • Coordinate timelines, milestones, and cross-functional touch-points so each study stays on track. • Collect and clean behavioural data, whether it comes from surveys, web analytics, or CRM exports. • Perform exploratory analysis in Excel, Python, R or any tool you prefer, then visualise ke...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

I’m finalising an academic paper and need a short-list of fresh, publishable ideas in Artificial Intelligence, Machine Learning or Deep Learning. The goal is to walk away with several concrete topics—each practical enough for a semester-length implementation in Python yet still offering a genuine research gap I can highlight as my own contribution. Here’s what I expect to receive: • 3–5 clearly worded research topics, phrased as potential paper titles. • For every topic, a crisp explanation of what makes it novel in light of recent literature. Cite the gap or twist that turns it from a replication study into new work. • A brief outline of the methodology: suggested datasets, baseline models (e.g., CNNs, Transformers, LSTMs, or classic scikit-lea...

I have designed a Qualtrics survey for math educators in support of a PhD student's dissertation, and I'd like an experienced Qualtrics specialist to walk through it with us and point out any blind spots. I serve in an administrative support capacity for the student, and both the student and I will be present in all sessions. Please note that an NDA will be required prior to engagement to protect the confidentiality of the research. The survey is an IRB-approved, confidential instrument targeting secondary math teachers in Washington State. It consists of approximately 57 questions organized across 14 thematic blocks, including a consent screen with skip logic, Likert-scale agreement items, multi-select tool inventories, matrix/grid rating questions, demographic items, and open-e...

I’m preparing a 10-minute assessed presentation on a single UN Sustainable Development Goal—either Good Health & Well-Being (SDG 3) or Quality Education (SDG 4)—and I need a polished set of PowerPoint slides that hit every point on my marking rubric. The content has to be academically solid and properly referenced in Harvard style. Please weave in: • the current challenges the world faces in this area, • at least one convincing case study that shows tangible success, • the future targets set by the UN, and • a fresh, “think-outside-the-box” angle that keeps the audience engaged. I’ll supply the rubric as soon as we start so you can align slide structure, depth of analysis and visual flair to each criterion. Charts, i...

I have a five-question risk-management assignment that must be solved entirely in Python and documented in a Word file. Each question asks me to pull real-world financial data from Google Finance, process it with well-commented code, and interpret the results in a risk-management context. Here is what I need from you: • Write clean, reproducible Python scripts for every question, making sure the data is fetched directly from Google Finance each time the code is run. • Embed concise explanations, assumptions, and any formulas alongside the code (either as inline comments or markdown cells if you prefer to work in a notebook before exporting). • Transfer the final answers, charts, and code snippets into a neatly formatted Word document so the assignment is submission-rea...

I'm seeking an experienced writer to help with my PhD thesis in bioinformatics. Requirements: - Complete the Introduction, Literature Review, and Discussion sections - Follow APA style and formatting - Work from my existing workflow (I have to papers) - Incorporate a mix of my specific sources and research papers, along with finding additional relevant sources Ideal Skills & Experience: - Expertise in bioinformatics and academic writing - Strong research skills and familiarity with APA guidelines - Prior experience with PhD-level thesis writing Looking forward to your bids!

I’m looking for a logistics supply-chain professional who can concentrate on our inventory management and, more specifically, on supply-chain optimization through better demand forecasting. Here’s what I need: • Diagnose our current forecasting process, data flows, and key pain points. • Build or refine a practical demand-forecasting model that aligns with our sales cycles, seasonality, and SKU mix (Excel, Power BI, or another suitable tool—your call as long as it’s maintainable). • Translate the model into clear reorder points and safety-stock guidelines that the warehouse team can follow without guesswork. • Recommend quick-win process changes that will shorten planning cycles and flag stock-out risk earlier. • Draft a concise SOP...

I have a set of raw sales data that I need turned into clear, actionable insights. The files are ready for you to dive in, and I’m looking for someone who can clean, explore, and analyze the numbers, then present the key findings in a way that guides smarter decisions. Please outline how you would approach the analysis—methods, preferred tools (Python / R, Excel, Tableau, Power BI, etc.), and what kinds of visualizations or reports you typically deliver. If you see opportunities for deeper trend identification or forecasting, feel free to suggest them; I welcome recommendations that add value. At the end, I’ll need: • A concise report summarizing your findings and recommendations • Supporting dashboards or charts that make the results easy to grasp •...

Headline: Driving Decisions with Data: The BMW Sales Analytics Dashboard Luxury brands don't just sell products; they sell experiences. But behind every premium experience is a massive engine of data. I’ve built a comprehensive BMW Sales Dashboard in Power BI to analyze how one of the world’s most iconic automotive brands performs across different markets. This project isn't just about the "Ultimate Driving Machine"—it’s about the Ultimate Data Insights. Key Insights Captured: Model Performance: Identifying which series (3 Series, X5, i7) is leading the revenue charts. Regional Deep-Dive: Mapping sales distribution across global territories to spot emerging markets. Engine Type Trends: Analyzing the shift from traditional Internal Combustio...

I’m expanding an R-and-D heavy product team and need an experienced technical recruiter who can bring in senior-level AI/ML engineers that can hit the ground running. The role goes far beyond résumé collection; I expect you to map the talent market, approach passive candidates, and put each engineer through a rigorous, engineering-grade screening process that proves they can architect, build, and ship production-ready models. You’ll have direct access to our hiring manager for calibration, but I’ll rely on you to: • Draft or refine the job brief so it resonates with seasoned machine-learning specialists. • Identify talent across LinkedIn Recruiter, GitHub, Kaggle, and relevant Slack/Discord communities, then run personalised outreach campaigns....

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I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...

I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

I’m looking for a mathematician who can tackle a range of analytical problems I’ve gathered for personal development. The questions span algebra, optimisation, and a few data-driven scenarios where results should inform sensible, real-world decisions, so the work isn’t just about getting the right numeric answer—it’s also about explaining the reasoning that leads there. Because this is purely for my own learning, there’s no hard deadline; quality of insight matters far more than speed. I’d like step-by-step solutions written clearly enough that I can follow the logic, with any supporting spreadsheets or code (Python, R, or even Excel) included if you use them during your analysis. Collaboration is welcome—I’m happy to discuss alternati...

I have a spreadsheet that tracks container-throughput from the Port to the ICD over time. I need a clean, reader-friendly report that tells the whole story hidden in those numbers. Scope of work First, lay out a solid descriptive analysis that covers total throughput and the day-to-day movement patterns. Next, build a predictive model so I can see how volumes may evolve in the near future. Finally, compare key periods and parameters to uncover how performance differs across time frames or operational variables. The descriptive section must highlight: • Total throughput • Daily trends • Trends specifically linked to Containers Received and any relationships you uncover between variables Deliverables • A written report (Word or PDF) summarising findings from the ...

I need an experienced accounting and finance professional who know stats and can do analysis in Excel

I am commissioning a focused study that explores how cultural misunderstandings disrupt everyday interactions among employees. The goal is to pinpoint the most common pain-points so organisations can address them before they escalate into bigger collaboration problems. find 7 articles on this and breif them Scope of work The research must concentrate exclusively on cultural misunderstandings; issues such as language barriers and non-verbal cues sit outside this project. The participant pool should be current employees drawn from at least two distinct cultural or national backgrounds so the data reflects real-world diversity. Methodology You are free to combine qualitative interviews, focus groups and quantitative surveys. Tools like SurveyMonkey or Google Forms for data capture and ...

I am a recent graduate and want a structured skill-development course that takes me from absolute beginner to confident practitioner in data analysis. The program should combine theory with plenty of hands-on practice so I can start applying what I learn right away. What I expect • A clear learning path that begins with fundamental concepts (data types, basic statistics, exploratory analysis) and steadily introduces more advanced topics. • Practical exercises and mini-projects using widely adopted tools such as Excel, SQL and Python (Pandas, NumPy, Matplotlib or similar), so I can build a small portfolio along the way. • Short quizzes or checkpoints after each module to confirm I have grasped the material. • Real-world datasets for practice plus guidance on where...

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

I have several batches of raw financial data sitting in spreadsheets that need to be turned into clear, actionable insights. Before we get to the numbers-story, the data itself has to be properly cleaned, validated, and organised so every calculation is trustworthy. Once the groundwork is solid, I want you to dive deep and uncover trends, variances, and performance indicators that matter to decision-makers. Working in Excel or Google Sheets—whichever you prefer—you’ll prepare the dataset, build the analyses, and leave me with an easy-to-follow summary that highlights your key findings. Deliverables • A single, fully cleaned and validated spreadsheet (Excel or Google Sheet) containing all financial records • A clear analysis section inside the same file (or i...

We are seeking a high-caliber professional with a background in Theoretical Physics, Pure Mathematics, or Information Theory to assist in the conceptual validation of a new computational paradigm. This is a stealth-mode project. No technical details (algorithms, hardware, or frameworks) will be disclosed publicly. We are not looking for a "coder," but for a mind capable of handling abstract algebraic structures and complex systems. Requirements: • PhD or Master’s Degree in Physics or Mathematics. • Deep understanding of Graph Theory or Statistical Mechanics. • Ability to sign a strict Mutual NDA before any technical deep-dive. HOW TO APPLY (Read Carefully): To filter out automated bot proposals, you MUST follow these two steps, or your application will be ign...

I need a polished, insight-rich Power BI dashboard that lets our leaders quickly understand three years of people data. The focus is on following KPI families: Employee headcount, Gender Diversity, Attrition and Training & Development. From project-level views to individual drill-downs, the visuals should reveal trends, outliers, and actionable patterns so managers can make decisions on coaching, promotions, and skill-building in seconds rather than hours. Scope of work • Connect to our raw HR data sources (excel files) and model them cleanly for year-over-year comparison. • Build interactive visuals—scorecards, slicers, heat maps, and time-series charts—that highlight performance and learning progress at department, team, and individual levels. • Opti...

**Academic Publication Assistant – 3 Peer-Reviewed Journal Papers** I am looking for an experienced academic writer/editor to assist with submitting and publishing three research papers derived from my PhD dissertation in Rural Studies (University of Guelph, Canada). **The Three Papers:** 1. *Understanding the Complexities of Socio-Ecological Pressures Facing Indigenous Farming Landscapes: The Case of the Chittagong Hill Tracts, Bangladesh* 2. *AEAS as a Mechanism for Farmer Resilience in the Face of Socio-Ecological Pressures in the Chittagong Hill Tracts* 3. *Governance Reform for Effective Agricultural Extension and Advisory Services in the Chittagong Hill Tracts of Bangladesh: Evidence from Mixed-Methods Research* All three manuscripts are nearly complete and ready for submiss...

I'm seeking a Python expert to develop a credit risk management model, focusing specifically on market data. Key Requirements: - Credit Risk Expertise: In-depth understanding of credit risk, particularly related to market data. - Python Proficiency: Advanced skills in Python for data analysis and modeling. - Data Handling: Experience in working with large datasets, especially market data. - Financial Acumen: Strong background in finance and risk management principles. Ideal Skills and Experience: - Proven experience in developing credit risk models. - Familiarity with relevant Python libraries (e.g., Pandas, NumPy, Scikit-learn). - Ability to provide clear documentation and insights on the model developed. Please share your relevant experience and approach to this project. I look ...

I am preparing a publish-ready research paper that answers a provocative question: “Will private jets and yachts ever become as common in India as cars are today?” To make the argument credible, I need a researcher who can combine rigorous economic modelling with clear, journal-style writing. Scope of work You will examine key trends—income distribution, luxury market growth, transportation infrastructure, GDP per capita shifts and the Gini coefficient—then translate those numbers into a probability forecast. Source material must draw on the Hurun India Rich List, The India Wealth Report, leading industry reports, SIAM vehicle data, and macro-indicators from World Bank and IMF databases. Feel free to enrich the study with additional peer-reviewed or proprietary d...

I have a raw export of sales transactions and want to understand what the numbers are actually saying. Using Power BI and Excel, please transform the dataset into an easy-to-read snapshot of performance so I can see totals, averages, trends over time, and key segments at a glance. Scope – Clean and structure the file so every column is usable. – Produce descriptive statistics that highlight overall revenue, units sold, average order value, growth by month or quarter, and any noticeable seasonality. – Build an interactive Power BI dashboard (with filters for date ranges, product categories, regions, and sales channels) and a companion Excel workbook that mirrors the same insights for quick offline reference. – Include a brief written summary that calls out t...

I have a large, raw Flipkart sales export that needs to be turned into a polished, insight-rich Power BI dashboard. The core story I want told is product performance—specifically which items are driving the most revenue, which are lagging, and how return rates are affecting overall profitability. Beyond that focal point, the model should still let me glance at revenue trends, customer-purchase patterns, seller distribution and the impact of discounts, but competitor benchmarking is not required this time. Your work starts with data shaping in Power Query, progresses to a well-structured star schema, and ends with elegant, drill-through visuals built in Power BI Desktop. I rely heavily on DAX measures, so clear, well-named calculations are essential. Deliverables • Cle...

I am at the final stage of my MD thesis and need a fresh, expert eye on three key chapters—Results, Literature Review, and Summary/Discussion. The language is already proof-read; what I need now is someone who can strengthen the logic of my arguments, clarify the narrative flow, and ensure the statistical story is airtight. Results chapter • Check every statistical test for accuracy and appropriateness. • Tighten data-analysis interpretations so conclusions follow naturally from the numbers. • Re-work tables, figures, and wording so findings are presented as clearly and persuasively as possible. Literature Review • Make sure the argument builds coherently from current evidence to my study rationale. • Identify any missing seminal papers or recent ...

My MD thesis draft is complete and now needs a final, professional overhaul so I can submit it with confidence. I’m looking for someone who can move quickly yet meticulously through three key tasks: refine the data analysis section for accuracy and clarity, repair the structural flow (with special attention to the Table of Contents, Results, and Summary/Discussion chapters), and eliminate any remaining plagiarism using Grammarly’s detection tools. The document is already written; I don’t need fresh content—just expert correction and optimisation. Please keep all medical terminology intact while tightening language where necessary, update any statistical tables or figures if errors surface, and re-format headings, pagination, and spacing so the entire thesis aligns ...

I am starting a PhD in Computer Science and must build a full design-science dissertation in cybersecurity. The core focus is cyber threat detection, drilled down to intrusion detection systems, and the work has to rely on a solid quantitative analysis plan. Here is what I need straight away: • A concise, publishable sample topic that clearly reflects a design-science contribution to intrusion detection (for example, “A Machine-Learning–Enhanced, Self-Adapting Network Intrusion Detection Artifact: Quantitative Evaluation on Real-World Traffic”). • A 4-5 page concept paper that my graduate committee can review. It should cover: problem statement, objectives, research questions or hypotheses, expected design artifact, quantitative evaluation strategy, brief lit...

I am looking for a remote academic research assistant to support the preparation of a Master’s thesis in Human Resource Management. The role includes helping with: Developing the research idea, problem, and objectives Conducting a literature review and identifying research gaps Designing research tools (survey questions or interview questions) Supporting data organization and statistical analysis Assisting with academic writing and editing The thesis will be written in Arabic, so the candidate must have strong Arabic academic writing skills. Preferred qualifications: Experience with academic research and thesis preparation Knowledge of research methodology (especially descriptive analytical research) Ability to access and review previous academic studies Experience design...

I am working on a 10–15 page experimental psychology research paper written in APA format, and I need help writing it based on the materials I will provide (rubric, literature matrix format, sample experimental paper structure, and presentation information). The final paper must follow the required structure and formatting for an experimental psychology research paper and meet the rubric requirements, including APA formatting, citations, references, figures, and tables. The paper should include the following sections: Title Page, Abstract, Introduction, Literature Review, Theoretical Framework, Purpose of the Study, Method, Results, Discussion, Conclusion, and References. The literature review must include at least five peer-reviewed journal articles from the last 10 years and should...

I need an expert in genomic data analysis, specifically with SNP array data and GEBV modeling. Tasks include: - Data preprocessing and quality control - Statistical analysis and modeling - Visualization of results Ideal skills and experience: - Proficiency in bioinformatics tools and software - Strong background in statistics and modeling - Experience with SNP array data and GEBV modeling - Ability to create clear, informative visualizations Looking for someone detail-oriented and experienced in handling complex genomic datasets.

I need a comprehensive review of the data analysis and presentation chapter of my mixed methods research. The analysis has been conducted using SPSS. Key Requirements: - Focus on improving presentation clarity - Ensure logical flow and coherence - Check for any ambiguous or confusing sections Ideal Skills and Experience: - Proficiency in SPSS - Strong background in mixed methods research - Excellent academic writing and editing skills - Experience in reviewing data analysis chapters

I need a well-structured research paper that explores a topic within public health. The work should reflect current thinking in healthcare and medicine, draw on peer-reviewed literature published within the last five years, and present clear, evidence-based conclusions. Please organise the manuscript in the usual academic format: abstract, introduction, methodology, results, discussion, conclusion, and references. APA citation style is preferred. A concise literature review that highlights recent findings and any gaps the study addresses will strengthen the paper. Deliverables: • Complete manuscript in editable Word format • Separate reference list with full citations • Any data tables or figures as individual files (if applicable) Originality is critical; all content...

I need a detailed simulation of our warehouse operations using Flexsim. The main goal is to optimize our storage layout, improve our picking processes, and enhance our throughput efficiency. Key Requirements: - Create a comprehensive model of our current warehouse operations - Simulate various scenarios to identify optimal storage layouts - Analyze and improve picking processes - Enhance overall throughput efficiency Ideal Skills and Experience: - Proficiency in Flexsim - Strong background in logistics and warehouse management - Experience in process optimization and simulation modeling - Analytical skills to interpret simulation results and provide actionable insights Please provide examples of previous simulations and any relevant certifications.

I need an 8- to 10-page conference paper that presents a hybrid machine-learning Security Information and Event Management (SIEM) framework combining Random Forest and Isolation Forest for network-threat detection. The manuscript must follow either Springer LNCS or Scopus proceedings guidelines, complete with the correct template, figure sizing, and reference style. Core structure • Introduction and literature review that positions the problem, surveys recent SIEM advances, and justifies the hybrid approach. • Methodology and data analysis describing data-preprocessing, feature engineering, model building in scikit-learn, and experimental evaluation on publicly available cybersecurity datasets (e.g., CIC-IDS 2017, UNSW-NB15, or similar). • Conclusion and future work...

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...