Análise estatística Jobs

I need a behavioural scientist with a strong psychometrics background to create a concise, research-based assessment that reveals how strongly one individual embodies an entrepreneurial mindset and, most importantly, whether that mindset signals genuine potential for future success. Here is what the engagement should produce: • A bank of well-crafted items (preferably Likert-scale) targeting core entrepreneurial dimensions such as opportunity recognition, calculated risk tolerance, persistence, resourcefulness and adaptive leadership. • A scoring model with clear cut-offs, weighted factors and an interpretation guide that explains what each score range means for real-world entrepreneurial performance. • A brief technical note describing the validation approach you w...

1. Diseñar los Procedimientos Técnicos de Calibración (Métodos) Redactar los instructivos o procedimientos paso a paso de cómo se calibrará cada equipo del CDA (frenómetros, analizadores de gases, opacímetros, luxómetros y alineadores al paso), basándose en las normas técnicas metrológicas y de revisión vehicular vigentes. 2. Crear el Sistema de Cálculo de Incertidumbre (Guía GUM) Desarrollar las hojas de cálculo (en Excel o software especializado) para determinar la incertidumbre de la medición de cada variable física (fuerza, gases, presión, intensidad lumínica). Esto es obligatorio para la ISO/IEC 17025 y el ONAC. 3. Estructurar la Trazabilida...

I’m looking to build a scalable automated trading system — something we can run, improve and grow over time — and I'm looking for a long-term operating partner to build it with me. I'm strategy-agnostic: you propose the system, whether that's a 0DTE options bot, a higher-frequency signal-driven system, a slower trend or momentum system, or something else. Returns matter. To scale, the system has to beat what the same capital would earn in Treasuries or an index fund, after all costs and your share. We start with about $20,000. I'll be working full-time elsewhere, so I need a partner who will also operate and monitor it long-term. Overview I'm looking for an experienced algorithmic trader/developer to join as a true operating partner to design, bu...

EXECUTIVE SALES DASHBOARD *Title:* Executive Sales Dashboard - Interactive Performance Summary & Business Insights 1. Key Performance Indicators (KPIs) - Top Section - *Total Revenue:* $63,525.00 - *Total Profit:* $27,464.50 - *Units Sold:* 372 Units - *Profit Margin:* 43.2% 2. Regional Sales Breakdown (Table + Bar Chart) - *East Region:* Profit $5,680.00 | Sales Revenue $12,800.00 | Units 98 - *North Region:* Profit $5,187.00 | Sales Revenue $13,140.00 | Units 26 - *South Region:* Profit $6,915.00 | Sales Revenue $17,730.00 | Units 82 - *Highest Revenue* - *West Region:* Profit $3,525.00 | Sales Revenue $6,900.00 | Units 53 - *Lowest Revenue* - *Grand Total (for this table):* Profit $21,307.00 | Revenue $50,570.00 | Units 259 *Insight from Bar Chart (Revenue by Region):* South ...

我希望你利用 WorkBuddy，接手我现有的原始数据并完成下列工作： 1. 进行数据清洗与趋势分析，找出关键表现波动与根因。 2. 以简洁、可执行为原则，输出一份数据统计分析报告，配备图表和洞察结论，方便我直接向管理层汇报。 如有额外时间，也欢迎你提出并实现台账或 KPI 跟踪的优化建议，但核心交付物仍以分析报告为主。 项目过程中，我会随时提供业务背景与补充数据；你只需专注于数据处理与报告撰写，我负责协调其他资源并确认最终成果。

I’m preparing a scholarly paper that explores a consumer-behavior question situated at the intersection of management and marketing. The study will be designed as a mixed-methods project, so I need support that comfortably moves between statistical analysis and qualitative interpretation. All primary evidence will come from existing databases and peer-reviewed publications; no field surveys or interviews are planned at this stage. Your role is to help me locate the most relevant datasets and literature, craft a rigorous methodology that blends quantitative and thematic techniques, run the analyses, and co-write the article up to journal-submission standard. Deliverables • Curated reference list and annotated dataset sources • Clearly articulated mixed-methods design (sa...

I need a knowledgeable research adviser to assist with academic research in the field of psychology and global health. The project needs to be completed within a month. Key Requirements: - Expertise in psychological research methodologies - Experience in academic writing and research analysis - Ability to provide guidance on literature review, data collection, and analysis - Strong organizational skills to meet the one-month deadline Ideal Skills: - Advanced degree in Social Sciences - Proven track record in academic research - Excellent communication skills

I’m in the final stages of shaping a PhD that examines energy relations between China and the Middle East—an area-studies project that sits within the social sciences. I now need an experienced academic partner who can guide me through the full research cycle while strengthening both the substance and the language of my work. Here’s what I’m looking for: • Strategic advice on framing a rigorous literature review that captures the latest scholarship on Sino–Middle East energy cooperation. • Hands-on support refining my research design, selecting appropriate qualitative and quantitative methods, and clarifying data-collection protocols. • Ongoing coaching as I analyse findings, ensuring interpretations are theoretically sound and well-ar...

Work Experience County of Santa Clara – Santa Clara Valley Medical Center- 3/2023 – Present Assistant accountant • Performing routine technical accounting functions for about 250 employees, including collecting and tracking hours worked, implementing labor agreements and applicable laws and ordinances involving payments, deductions, differentials, overtime, reimbursements, etc., assessing costs to appropriate cost centers, researching imbalances and errors in posting and initiating corrective action, and reviewing and releasing payroll to the Controller Treasure Department • Performing daily check on financial data, verifying accuracy through comparison of sources records with reporting data, identifying report errors, and correcting input for data processing. &bull...

I am an international medical student currently completing my clinical training in China, with an expected graduation date of July 2027. I am seeking an experienced medical researcher to collaborate with me on a clinically relevant, potentially publishable research project in cardiology, neurology, or the intersection of both fields. My primary interest is clinical research exploring disease mechanisms, diagnostic challenges, and clinically meaningful associations. I am looking for an experienced researcher who can guide me throughout the research process, from identifying a promising research question to preparing and submitting a manuscript to a peer-reviewed journal. Scope of Work 1. Research Topic Discovery and Refinement * Identify at least three promising research topics based on...

I’m diving into a data-heavy project and I need an experienced Business Analyst to partner with me on the actual analysis while walking me through every step so I learn the process. The core focus is data analysis—everything from cleaning raw datasets and exploring patterns to pulling out actionable insights and packaging them in a way stakeholders can trust. Here’s how I picture our collaboration: • You handle the hands-on work: importing data, cleaning, modelling, visualising and interpreting results (using the tools you’re most comfortable with—Excel, SQL, Python, R, Power BI, Tableau are all fine). • After each stage, you hop on a quick call or screen-share to explain what you did, why you chose that approach, and how to replicate it myself. ...

I have already run whole-genome sequencing on five acute lymphoblastic leukemia samples and completed the first-pass bioinformatics pipeline (alignment, variant calling, basic annotation). Before I draft the manuscript, I need a fresh set of expert eyes to: • validate the analyses I have performed, • spot any gaps or mis-calls, and • craft a polished narrative for the Results section that will stand up to peer review. The narrative must weave together: – the key mutations you confirm in each sample, – how those variants compare with our in-house control cohort, and – what the findings may mean clinically for risk stratification or therapeutic decision-making. Please follow the standard scientific reporting format (clear sub-headings, concise pros...

I will supply a collection of raw numeric figures that must be transcribed into a clean, well-structured Excel workbook. Accuracy in the initial data entry stage is critical; every value needs to match the source exactly and sit in the correct row and column. Once the numbers are in place, I also need basic statistical analysis performed inside the same file. Think means, medians, standard deviations, simple frequency counts or any other descriptive statistics that help me understand trends at a glance. If you prefer the Analysis ToolPak, built-in formulas (AVERAGE, STDEV, COUNTIF, etc.), or a combination of both, that’s fine—just make sure the calculations remain transparent so I can trace any result back to its input. Deliverable: • One .xlsx workbook containing &ems...

Chapter 3: Research Methodology The Research Methodology chapter should normally be approximately 6 pages. The chapter must clearly explain how the research was conducted. The research objectives and hypotheses must be stated in this chapter. 2.3. I. Introduction a. Research Methodology Explain the meaning and purpose of research methodology. b. Types of Research Methods Discuss the main types of research methods and explain their applications. 2.5. III. Objectives of the Research a. Research Objectives Clearly state all research objectives. b. Research Hypotheses State the hypotheses developed for the research, where applicable. (Formulate hypothesis is tentative assumption made in order to draw out and test its logical or empirical consequences. Hypothesis should be very spec...

I have several seasons of NRL historical game data stored in multiple spreadsheets and an early-stage predictive model that I built in Excel. I now need that raw information turned into a reliable, well-structured dataset, then pushed further through rigorous statistical analysis and sports-performance modelling—all inside Excel. Here’s what I want to achieve: • A fully cleaned and consistently formatted workbook where every match, team and player field lines up perfectly for formulas, PivotTables or Power Query refreshes. • Advanced statistical exploration of the cleansed data (regressions, significance testing, variance analysis, etc.) to surface the variables that truly drive match outcomes. • Integration and refinement of my existing predictive model ...

Cryptocurrency Trading Strategy Analysis I want to analyse a file containing historical Bitcoin price predictions, collect historical Bitcoin market data, and backtest the trading strategy Tasks: * Collect historical BTC prices, funding rates, open interest and available liquidation data and compare to predictions provided * Build a Python-based backtest to evaluate forecast accuracy, risk and potential profitability. * Provide the analysis, source code and a report explaining the results. Required skills: Python, data analysis, cryptocurrency market data and quantitative trading strategy backtesting. Please describe your relevant experience, proposed approach, estimated cost and timeline.

We are looking for people who understand steel, not just write about it. Hashtagsteel Pi is a steel market intelligence platform built to help the industry better understand prices, trends and the forces shaping the market. We are looking to work with steel industry professionals, market analysts, researchers and experienced industry writers who can turn market knowledge into clear, research-backed insights. What you’ll contribute 3 Industry Articles per month on steel markets, pricing, demand, supply, policy, trade or industry developments 1 Market Insight Research Report per month with deeper analysis, market trends, data, charts and infographics Original analysis that explains not only what happened, but why it happened and what it could mean for the market Before starting any...

This engagement centres on a clear goal: enhancing our customer experience by leveraging sentiment analysis across both structured and unstructured data. I need a succinct, expert-level assessment that tells me whether the idea, data, and technical pathway are sound before full development begins. Scope • Examine the data landscape. Our customer records live in databases and spreadsheets, while social posts, emails, and support transcripts come in free-text and image form. Detail what must be cleaned, labelled, or augmented so sentiment signals are reliable. • Recommend the modelling approach. Contrast rule-based, classical ML, and modern transformer techniques, then justify the best fit for accuracy, latency, and cost at our scale. • Outline an implementation roadmap...

I’m in the final stage of my MBA in International Business and must deliver a robust research project on India–Japan business relations within the automotive sphere. My curiosity spans OEM activities, Tier-1/Tier-2 supply-chain dynamics and even resin or other material suppliers, but the common thread is trade relations—export-import flows, regulatory frameworks and the influence of quality systems such as IATF 16949. What I need is a partner who can steer the entire academic journey: helping me narrow the topic, constructing a sound methodology, gathering reliable data (peer-reviewed journals, JETRO/JAMA reports, UN Comtrade, DGFT notifications, company filings, etc.), performing the quantitative or qualitative analysis in SPSS, Stata or Excel, and finally assembling a ...

I want to build a small desktop or web tool that gives me real-time predictions for 1Win’s Lucky Jet game and its Mines variation. The core of the job is an algorithm that reads the live stream of crash multipliers, learns from historical rounds, and then outputs an on-screen indicator a few seconds before the next take-off. To make the numbers trustworthy, the system has to: • pull or accept past-round data automatically, run statistical analysis, and refresh its model continuously; • display the current confidence level and suggested cash-out point in an intuitive interface (a simple panel or overlay is enough); • include a parallel module for Mines that estimates safe tiles in real time using the same data ingestion pipeline. Real-time prediction is the ...

I have several raw datasets from different business systems that need to be turned into a single, reliable source of truth before we explore the story hidden inside. For the cleaning phase I’ll rely on both Python (think pandas, NumPy, Jupyter notebooks) and advanced Excel techniques such as Power Query and dynamic arrays—whichever makes the job faster and more transparent for later hand-off. All tables ultimately live in MySQL, so you’ll be writing efficient joins, sub-queries, and window functions directly against that database to create analysis-ready views. Performance matters; I want the queries optimized and commented so they can be reused by the in-house tech team. Once the data is shaped, the next step is to craft an interactive, executive-level dashboard in Pow...

I need concise, actionable insights into how shoppers feel about a select set of everyday consumer goods. The core of the job is to design and run short online surveys or questionnaires, capture the responses accurately, and deliver a clear summary of customer preferences. Because this is a small, straightforward project, speed and attention to detail matter more than fancy visuals. I’ll share the exact product categories and any wording guidelines once we start chatting. Looking forward to seeing how you can turn quick survey data into usable insights!

I am launching a formal research project that explores how educational technology is influencing learning outcomes and classroom practices. The core of the work will be educational research rather than course design or student assessment, so I need someone comfortable digging into peer-reviewed literature, collecting or curating relevant data, and synthesising findings into a clear, evidence-based report. What I will provide: the research questions, initial reading list, and any institutional guidelines that must be followed. What I would like from you: a concise plan for gathering sources, transparent documentation of your search strategy, and periodic briefs so I can track progress and adjust scope if new themes emerge. Please highlight the experience you have that is directly rele...

About the project We are running an animal behavior study with a custom wearable motion logger. An observer marks specific behavioral events in real time. We want to find out whether these events can be detected automatically from the motion signals and, if so, build a detector that runs in real time. Further background will be shared after an NDA is signed. The key question Can event moments be reliably distinguished from non-event moments at a similar level of physical activity, using tail and body motion alone? Data we provide - Sensors: two MPU6050 IMUs (3-axis accelerometer + 3-axis gyroscope), one on the tail and one on the torso as a body-motion reference. Both are sampled in the same tick (<1 ms skew). - Settings: 100 Hz sampling, on-chip low-pass filter at 20 Hz, acceleromete...

Audit of ML and econometric models on financial time series (Python, freelance) A quantitative research platform trains 24 model families every night on daily market data, walk-forward, across about 1,000 assets. We are looking for an independent expert to check that these models are implemented correctly and evaluated honestly. The work * ML models: XGBoost, LightGBM, Random Forest, Extra Trees, regularized linear models, SVR, MLP, LSTM, TCN. * Econometric models: GARCH, EGARCH, GJR-GARCH, SARIMAX/ARIMA, VAR, VECM, Kalman. * What to check: does each model do what its configuration says? Are the hyperparameter search spaces (Optuna) suitable for financial targets, and is the search free of look-ahead? * Model collapse: find where a fit degenerates into a constant predictor (the mean, stump...

Hi! I’m looking for a knowledgeable tutor to help me over the coming weeks with some advanced quantitative and data-driven topics. What we will be working on: - Statistics & Regression: Hypothesis testing (one/two-sample), non-parametric tests, linear & logistic regression, and generalized linear models (GLMs). - Python Optimization: Formulating optimization models (Linear & Integer Programming) and solving them in Python using the PuLP library. - Simulation Methods: Monte Carlo simulation and basic discrete-event simulation concepts. What I'm looking for: - Online 1-on-1 support to go through problem sets, study materials, and practice exercises. - Help understanding complex math/statistical concepts step-by-step. skills: Statistics Python Mathematics Statis...

Quant Developer for a Crypto Trading Bot: Strategy Research and Development (Python, React/Node) About the project A working crypto trading bot with a web dashboard. It paper-trades 12 coins on exchange data (15m to 1D candles) and can trade real funds on Base through Uniswap, with every trade confirmed in MetaMask. It already has: 12 strategies (RSI, Bollinger, Supertrend, trend filter, momentum, whale-flow copy trading and more) backtesting with fees and slippage an optimizer that tunes on older data and tests on newer data it never saw Auto-pick, which chooses the strategy that held up on that unseen data What you'll do Research, build and test new trading strategies, and improve the existing ones. Prove each strategy holds up on data it wasn't tuned on (walk-forward testin...

I'm looking for an experienced researcher to conduct a systematic review focused on cardiovascular studies. The review should include both randomized controlled trials and observational studies, with a specific focus on mortality rates as the primary outcome measure. A meta-analysis component is also required. Key Requirements: - Comprehensive literature search and data extraction - Critical appraisal of included studies - Statistical analysis for meta-analysis - Detailed report writing Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis - Strong background in cardiovascular research - Proficiency in statistical software (e.g., RevMan, STATA) - Excellent writing skills for academic publications Please provide samples of previous work and relevant qualif...

I have a sizeable set of customer data and I want to turn it into clear, actionable insight that will directly improve our customers’ experience when they contact support. Your task is to take this raw information, clean it, explore it and surface the patterns that show where our service interactions delight—or frustrate—people. I am interested solely in customer-related records; sales figures and survey metrics outside that scope are not part of this engagement. The end goal is a concise narrative that tells us how to raise satisfaction levels, cut response times and pinpoint any pain-points hidden in the current workflow. To keep things focused, I will need: • A brief outline of the preprocessing steps so the work is reproducible • Visualisations or dashbo...

I’m preparing a predictive analytics initiative for a finance-focused dataset stored in traditional relational tables and well-formatted spreadsheets. The core objective is to turn this structured historical information into forward-looking insights—think probability scores for default, churn, or other key risk and revenue indicators. You will take ownership of the full machine-learning pipeline: data ingestion from CSV/SQL sources, exploratory analysis, feature engineering, model selection and training, validation, and a concise performance report. I expect reproducible Python code (preferably using pandas, scikit-learn, XGBoost or similar), clear comments, and a short write-up that explains both the methodology and how to refresh the model with new data. Deliverables: &bull...

I need an analysis comparing youth sports participation and delinquency using Add Health data. The focus should be on understanding how engaging in sports might correlate with or impact delinquent behaviors. Key Requirements: - Analyze correlation between sports participation and delinquent behaviors such as substance use, violent behavior, or property crimes. - Use appropriate statistical methods (e.g., regression analysis, correlation analysis, ANOVA). - Focus on specified youth age groups (pre-teens, teens, young adults). Ideal Skills and Experience: - Strong background in statistics and data analysis. - Experience with Add Health dataset or similar. - Proficiency in statistical software (e.g., R, SPSS, Stata). - Ability to interpret and present findings clearly.

I'm seeking an expert to analyze over-the-counter (OTC) stock options for profit forecasting. The analysis should focus on the following key metrics: - Volatility - Strike price - Expiration date Ideal skills and experience: - Strong background in options trading, particularly OTC options - Proficient in financial modeling and profit forecasting - Experience analyzing market volatility and its impact on options - Ability to provide clear, actionable insights based on data analysis Please include any relevant work experience in your bids.

I’m preparing a new project that calls for a seasoned eye on my raw data. The exact format of the files may range from neatly structured spreadsheets to more free-form text exports, so I’ll need someone comfortable pulling insights no matter how the information arrives.

I need a clear, independent audit of my stock-portfolio model that focuses strictly on performance evaluation—no compliance or risk review at this stage. You will dig into the historical trades, benchmark the returns, and validate the calculations behind metrics such as CAGR, Sharpe/Sortino ratios, alpha, beta, and drawdown figures. Your analysis should culminate in two concise deliverables: • A spreadsheet (Excel, Google Sheets, or Python notebook) that recreates the performance calculations step-by-step so I can trace every formula. • A short written report (PDF) that interprets the numbers, highlights any discrepancies you find, and offers recommendations to improve reporting accuracy. I already have transaction data, benchmark indices, and the original model log...

I have a batch of survey responses—some come in neat, predefined fields while others are free-form paragraphs. I need every word transferred accurately into a clean, analyzable spreadsheet or database, with the structured parts preserved exactly as they appear and the open-ended comments copied in full. Once the entry is finished, I’d like a concise statistical summary of what the data can immediately tell us (frequency counts, word totals, basic descriptive insights). If you spot a smarter way to slice the information while you work, feel free to flag it; I’m open to suggestions before we finalise the numbers. Deliverables • Clean, well-labeled data file (Excel, CSV or Google Sheet) containing all textual responses • Brief statistical snapshot of the data...

I have a stack of completed paper-based surveys that first need to be digitised and then explored through solid statistical analysis. Your task begins with accurately keying every response from the paper forms into a clean, well-structured spreadsheet (Excel or CSV, whichever you prefer). Once the dataset is ready, I want to move straight into statistical analysis—means, medians, standard deviations, cross-tabs, significance testing where appropriate—so I can confidently report on the findings. I will consider the job complete when I receive: • A fully validated digital dataset that mirrors the original paper responses • A concise statistical report (tables, clear commentary, and any supporting charts) delivered in PDF or an editable format • The working fil...

I am seeking an experienced 1D/2D hydraulic flood modeller to assist with a UK planning case in Egham, Surrey, England. The work will involve obtaining and re-running the relevant Environment Agency Lower Thames hydraulic model, incorporating detailed topographical data and a more accurate representation of buildings and urban features along a short section of Egham High Street. The objective is to reassess predicted flood extent, depth, velocity, hazard and time-to-inundation along a pedestrian evacuation route and produce modelling suitable for review by the Environment Agency / UK planning authorities. A comprehensive technical information pack will be provided, including: -existing FRA -detailed topographical data -existing EA flood modelling outputs -flood warning / evacuation in...

I need my raw data transferred with 100 % accuracy into either SPSS or Stata, checked for consistency, and then summarised visually. Once the entries are validated, please generate clear, publication-ready charts and graphs in Microsoft Excel that highlight the principal descriptive statistics. Deliverables • A cleaned and fully labelled .sav or .dta file • An Excel workbook containing the charts/graphs (with underlying data tables) • A brief log of any anomalies or assumptions made during entry and validation I will supply scanned questionnaires and existing digital files. I’ll be on hand to clarify variable names, coding frames, or specific chart requirements, and I expect all shared files to remain confidential. Accuracy and an eye for detail are essenti...

# URGENT: Ophthalmology Dissertation Revision, Statistical Analysis and Examiner Corrections **Budget: USD 50 (Fixed Price)** **Deadline: 7 Calendar Days** **Payment: 30 Days After Submission, Subject to Thorough Review and Acceptance** ## 1. Project Overview I am seeking an experienced medical research writer, biostatistician, or academic editor to comprehensively revise my postgraduate ophthalmology dissertation based on a detailed examiner evaluation report. **Research Topic:** Comparison of Conjunctival Autograft Fixation Using Autologous Serum Versus Absorbable Sutures in Primary Pterygium Surgery. **Study Details:** - Study design: Ambispective comparative cohort study. - Total sample size: 56 eyes. - Autologous serum group: 28 eyes. - Absorbable suture group: 28 eyes. - Sta...

I’m gearing up for an economic project centered entirely on research. At this stage I need a specialist who can take the lead from framing clear research questions through to delivering a polished report that’s ready for stakeholders. The exact analytical angle is intentionally open—whether the study ends up leaning on qualitative interviews, quantitative datasets, or a mixed-methods blend will depend on the approach you recommend once the brief is fully explored. Please be comfortable with sourcing reputable economic data, applying appropriate statistical or thematic techniques, and translating findings into concise, decision-ready insights. Deliverables I expect: • A brief research plan outlining data sources, methodology, and timeline • Clean, we...

Saya membutuhkan individu yang bersedia mengisi sebuah survei berformat pilihan ganda. Survei ini ditujukan khusus untuk pelanggan umum dan tujuan utamanya sederhana: Anda akan mendapatkan bayaran atas partisipasi yang lengkap dan jujur. Detail tugas: • Menjawab seluruh pertanyaan pilihan ganda yang tersedia. • Menyelesaikan survei dalam satu kali sesi tanpa melewati pertanyaan apa pun. • Memastikan jawaban merefleksikan pengalaman serta pendapat pribadi secara akurat. Setelah survei selesai, kirimkan bukti tangkapan layar halaman konfirmasi sebagai tanda bahwa seluruh proses telah tuntas. Saya akan segera memproses pembayaran begitu verifikasi diterima. Silakan ajukan diri bila Anda siap berpartisipasi dan memenuhi kriteria sebagai pelanggan umum.

I’m tackling a graduate-level calculus assignment and need clear, accurate solutions that I can study from. The work is firmly in the mathematics domain—nothing introductory—so please be comfortable with advanced topics such as multivariable analysis, series, and proof-based reasoning. Here’s what I’ll provide • The complete problem set in PDF form • Any lecture notes or prior attempts that might help you see my approach so far What I need back • Step-by-step solutions written either in LaTeX or neatly formatted Word/Google Docs • Concise explanations of the reasoning behind each step so I can follow the logic, not just copy an answer • Graphs, code snippets, or numerical checks (Python/Matlab/Maple—your choice) whene...

I need a detailed CFD study of several laboratory fume cupboards that routinely handle chemicals. The sole aim is to confirm their safety and containment performance, focusing specifically on three points: preventing leakage into the room, quantifying overall containment efficiency, and assessing operator exposure risk at the sash opening. You will receive the 3-D CAD geometry, operating sash heights, fan curves and boundary condition data. From this, set up and run steady-state and, where useful, transient simulations in ANSYS Fluent, OpenFOAM, or a comparable solver. Turbulence modelling, species transport for chemical tracers, and clear visualisation of velocity vectors and concentration iso-surfaces are essential. Deliverables • Solver-ready case and data files • High-res...

I have two manuscripts—one in the medical field and one in engineering—that are approaching submission. My immediate priority is a rigorous pre-submission review that leaves journal editors with nothing to pick apart. Here is what I need from you: • Select appropriate journals for the manuscripts, especially Indian journals that have an APC of less than Rs. 40000. • A full language edit that corrects grammar, syntax, and flow without altering scientific meaning. • A critical appraisal of the research methodology to be sure study design, sampling, and statistical tests are airtight. • Verification of every table, figure, and statistical result so the data analysis stands up to peer scrutiny. • A line-by-line compliance check against the guidelin...

DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...