İstatistiksel Analiz Jobs

I’m currently working through a quantitative finance / financial engineering program and I’m looking for an experienced finance or quantitative professional to provide ongoing technical support and guidance. This is not a one-off task. I’m looking for someone who understands both financial theory and practical model implementation, and who can support me across multiple modelling problems and conceptual questions as the program progresses. Areas involved include: • Mean–variance portfolio optimisation • Risk-free assets and efficient frontiers • Volatility targeting and portfolio constraints • Excel Solver formulation and convergence issues • Asset pricing, portfolio risk, and returns • Interpretation and validation of quantitat...

I’m looking to commission a custom machine-learning model that automatically writes full-length research papers in the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, a...

I have a growing spreadsheet-based database that now needs three things in one streamlined workflow: accurate re-typing of a few legacy documents into the master sheet, a quick proof pass to catch typos and formatting issues, and finally a clear market analysis drawn from the cleaned data. The core of the job is data analysis, with a focus on market analysis. Once the information is re-entered and verified, I’d like you to identify key market trends hidden in the numbers—patterns in customer behaviour, shifts in demand, emerging opportunities, and any risks you notice. Feel free to use Excel, Google Sheets, or your preferred tools (Python + Pandas or SQL are fine too) as long as the final files remain easy for me to open and follow. Deliverables • A fully re-typed ...

I need a FlexSim model that mirrors my current assembly-line setup so I can focus on process optimization and, most importantly, pinpoint every bottleneck that limits throughput. The scope is limited to production line efficiency: station capacities, buffer sizes, material flow, and operator interactions. I will supply layout drawings, takt-time data, and recent shift logs. Using those, replicate the line, run sensitivity analyses, and highlight where queues build or resources sit idle. Please return: • The .fsm model ready to open in FlexSim • A concise run report summarising KPIs (throughput, utilisation, average wait) and the exact stations or logic causing each bottleneck • A short list of parameter tweaks or layout changes that the simulation shows would yield t...

I need a partner who can walk me through the full process of quantifying and explaining feature importance across several classic models—specifically Linear Regression, Decision Trees and Support Vector Machines—using Python. The goal is to compare and contrast interpretability techniques such as SHAP, LIME, PDP and ICE, then package the findings so that non-technical stakeholders can easily understand why each feature matters. What I expect from you • Well-structured, reproducible Python code (preferably in Jupyter notebooks) showing how each model is trained and how the above interpretability methods are applied. • Clear visualisations and narratives that highlight where and why the different methods agree or diverge. • At least one live session (Zoom, M...

I need ongoing help a few hours a day with collecting, cleaning, and summarising data for several market intelligence projects. You’ll log into shared Google Sheets, pull information from public sources or APIs, verify accuracy, and present concise insights that let me make quick decisions. Experience with Excel or Sheets functions (LOOKUPs, pivot tables, basic charts) and any lightweight statistical tool such as Python/pandas or R is a plus, but solid attention to detail matters most. I’ll set clear weekly objectives up front. Typical deliverables include: • A cleaned spreadsheet ready for analysis • A brief written summary (no more than one page) highlighting key findings and anomalies Before we start, send a short note telling me your favourite dataset you&rs...

I have a set of raw pharmaceutical data and I need it transformed into a clear, reliable financial analysis that hinges on accurate drug-dosage calculations. The goal is to understand how each dosage choice affects overall cost and profitability, so the numbers have to be airtight. Here’s what the job looks like from my side: • Source data: prescription-level, pharmacy-supply figures (Data farmasi). • Core task: run precise Penghitungan dosis obat, then fold those results into a concise Analisis keuangan. • Preferred tools: Excel for all number-crunching; if you lean on Python, R, or Power BI to streamline the workflow, that’s fine as long as the final model lives in an easy-to-audit spreadsheet. Deliverables I need to see: 1. An Excel file with every dosage ca...

To simplify paying you and communicating with you, I am looking for a coder that who located in the United States. I’m putting together a fully automated day-trading system focused on squeezing out short-term gains every session. Because speed and execution nuance are everything, I only want to work with someone who is already active in the U.S. markets—you know the quirks of pre-market liquidity, Level 2 tape action, and the maddening volatility that can erupt around economic prints. Scope The core of the project is an algorithm that scans real-time data, identifies high-probability set-ups, and triggers rapid entries and exits in both equities and the more liquid commodity contracts. The logic needs to be modular so I can swap indicators or risk parameters without rewriti...

I’m preparing a series of epidemiology research papers and I’d like an experienced medical writer to help me transform my study notes, datasets and preliminary analyses into clear, publication-ready manuscripts. The core of the job is classic academic writing: structuring the paper (IMRaD format), weaving the literature review with current public-health context, presenting results accurately, and finishing with concise discussion and conclusions that meet journal standards. I will supply the raw material—study objectives, methodology, statistical outputs, and key references—so you can focus on narrative flow, logical argumentation, proper citation (Vancouver or APA, depending on target journal), and alignment with reporting guidelines such as STROBE. Deliverables ...

I need ongoing help a few hours a day with collecting, cleaning, and summarising data for several market intelligence projects. You’ll log into shared Google Sheets, pull information from public sources or APIs, verify accuracy, and present concise insights that let me make quick decisions. Experience with Excel or Sheets functions (LOOKUPs, pivot tables, basic charts) and any lightweight statistical tool such as Python/pandas or R is a plus, but solid attention to detail matters most. I’ll set clear weekly objectives up front. Typical deliverables include: • A cleaned spreadsheet ready for analysis • A brief written summary (no more than one page) highlighting key findings and anomalies Before we start, send a short note telling me your favourite dataset you&rs...

I have a raw customer dataset that I need transformed into actionable forecasts. Your task is to take that data, work entirely in Excel, and build a predictive model that shows what future behaviour we can expect—churn probability, likely purchase values, or any other forward-looking insight you find most compelling once you explore the variables. Please clean the file, document any assumptions, and structure the workbook so every calculation is transparent: no hidden sheets or hard-coded numbers. A concise write-up explaining the methods you used (e.g., regression with the Analysis ToolPak, Forecast Sheet, moving averages, Solver optimisation) should sit alongside an at-a-glance dashboard of the key metrics and charts. Deliverables: • Final Excel workbook with live form...

I want to quantify how recent advances in artificial intelligence are influencing forecasts of French GDP. I already have access to long-run historical GDP time-series and would like you to work only with that dataset for now. The task is strictly quantitative: build and compare solid économétriques models that incorporate an IA variable (or proxy) and measure its marginal effect on growth projections. You will be free to choose among standard time-series techniques—VAR, ARDL, error-correction, whatever proves statistically sound—provided the approach is fully documented and reproducible in R, Python, or Stata. Along the way, please explain every transformation, stationarity check, and specification test so that the methodology can be defended in an academic sett...

I already work at an advanced level with kinetic theory, yet I want to sharpen my non-isothermal modeling skills for biomass gasification and pyrolysis. The goal is to walk through rigorous, step-by-step workflows—from selecting the appropriate kinetic scheme and choosing heating rate protocols, through parameter estimation and model validation—so that I can streamline my own research code and confidently defend the methodology in publications. Here’s how I picture the engagement: • A short series of live, screen-shared sessions (recordings provided) where you demonstrate your preferred workflow. I’m comfortable talking equations, differential mass balances, and Arrhenius-type parameter fitting right away, so please pitch the discussion accordingly. •...

I’m looking for one versatile professional who is equally comfortable in Excel and Corel Draw. Excel task I have a dataset that needs clear, insightful analysis. You’ll clean the data, explore relationships, build pivot tables, apply basic statistical methods, and surface key findings in a well-structured workbook. Corel Draw task I also need a fresh, text-only logo created directly in Corel Draw. The goal is crisp, legible typography that reflects a modern, professional feel. No icons or color palettes required—just strong type treatment. Please provide the editable .cdr file plus a high-resolution transparent PNG and an SVG export. Deliverables • .xlsx file containing the cleaned data, pivot tables, formulas, and written insights • Corel Draw .cdr o...

I’m looking for a seasoned financial consultant who lives and breathes risk management within the finance and banking sector. The projects you’ll be advising on all exceed the USD 10 million mark, so I need someone comfortable dissecting complex portfolios, spotting hidden exposures, and translating regulatory expectations into clear, actionable steps. Here’s what I expect from our collaboration: • A thorough risk assessment covering credit, market, liquidity, and operational factors relevant to large-scale banking initiatives. • A concise mitigation plan that ranks exposures by severity, maps them to capital requirements, and suggests cost-effective hedging or restructuring tactics. • Practical implementation guidance—stress-testing models, sc...

I'm seeking a skilled SurveyMonkey expert to create a SWOT survey for a nonprofit organization focused on urban agriculture education through tower farming in schools. The survey will assess the program's effectiveness in education and engagement with community members, parents, and donors. Key Requirements: - Focus on effectiveness in education, community and parent engagement, and donor relations. - Target groups: Teachers, community members, parents, and donors. - Gather specific insights on teaching effectiveness from teachers. Ideal Skills and Experience: - Experience with SurveyMonkey. - Familiarity with nonprofit and educational sectors. - Strong understanding of SWOT analysis. Goal - To create or revise Mission and Vision Statements from survey research data Objectiv...

RESEARCH PROTOCOL 1. Title of Study Profiling the Clinical and Laboratory Characteristics of Paediatric Disorders of Sex Development --- 2. Principal Investigator Lwethu Dlamini Department of [Department Name] Institution: [Institution Name] Email: [Insert Email] Supervisor: [Insert Supervisor Name] --- 3. Background and Rationale Disorders of Sex Development (DSD) refer to a group of congenital conditions in which development of chromosomal, gonadal, or anatomical sex is atypical. DSDs are clinically heterogeneous and often require multidisciplinary assessment including endocrinology, urology, genetics, and psychosocial support. Early and accurate profiling of clinical and laboratory features is essential for: • Correct diagnosis • Guiding gender assignment decisions • ...

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I have a raw set of market data that needs to be turned into clear, actionable insights as quickly as possible. The sole objective is to uncover trends—seasonal patterns, growth pockets, emerging segments, anomalies—anything that can sharpen my next strategic move. You will receive the data files the moment we start. From there, I expect you to: • Clean and structure the dataset so results are reliable. • Run exploratory and statistical analyses, spotting both obvious and hidden trends. • Visualize the findings (Tableau, Power BI, or even polished Excel charts are fine) so they are easy to grasp at a glance. • Deliver a concise report summarizing the trends, your methodology, and any recommendations worth noting. Speed matters: I’m looking for...

I’m working through Week 3 of my Clinical Mental Health Counseling MA program and need a polished chapter review that runs 6–7 double-spaced pages in strict APA format. The chapter itself dives into contemporary findings in the field, so the paper should emphasize current research and studies rather than simply rehashing theories or case anecdotes. Please weave in citations from peer-reviewed journals, core textbooks, and reputable online articles to anchor each point. I’ll supply the chapter PDF as soon as the project starts; feel free to recommend any additional landmark studies you think will strengthen the analysis. What I expect back: • A Word document containing a title page, 150–250-word abstract, the 6–7 page review, and a properly formatted r...

I’m getting ready to run a buffer-solution analysis and want to walk through every step of the scientific method correctly— from shaping the hypothesis to submitting a polished lab report. My study guide’s pH section is useful but I still need hands-on guidance. Here’s what I’m looking for: • Experiment design: help me frame the research question, outline variables and controls, and choose the right buffer concentrations and indicators. • Lab execution: coach me on pH meter calibration, proper use of glassware, and any tips that prevent common buffer pitfalls. • Data work-up: once the readings come in, I’ll need a clear path for plotting titration curves, calculating pKa, and running any basic stats (Excel, Google Sheets or similar)....

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I have completed the experimental work on a set of nanomaterials (I’ll share the exact list once we start) and now need the findings shaped into a full-length research article suitable for journal submission. The focus is their anticancer activity, so a solid background in Chemistry at the Ph.D. level—especially in nanomaterials—is essential. The manuscript must be written entirely from peer-reviewed journal sources; books and general online pieces are off-limits. Please organise the paper in APA style, covering every detail from in-text citations to the reference list. Scope and expectations • Target length: roughly 6,000–8,000 words • Standard structure: Abstract, Introduction, Materials & Methods, Results, Discussion, Conclusion, References ...

I’m preparing a series of epidemiology research papers and I’d like an experienced medical writer to help me transform my study notes, datasets and preliminary analyses into clear, publication-ready manuscripts. The core of the job is classic academic writing: structuring the paper (IMRaD format), weaving the literature review with current public-health context, presenting results accurately, and finishing with concise discussion and conclusions that meet journal standards. I will supply the raw material—study objectives, methodology, statistical outputs, and key references—so you can focus on narrative flow, logical argumentation, proper citation (Vancouver or APA, depending on target journal), and alignment with reporting guidelines such as STROBE. Deliverables ...

I’m preparing a series of epidemiology research papers and I’d like an experienced medical writer to help me transform my study notes, datasets and preliminary analyses into clear, publication-ready manuscripts. The core of the job is classic academic writing: structuring the paper (IMRaD format), weaving the literature review with current public-health context, presenting results accurately, and finishing with concise discussion and conclusions that meet journal standards. I will supply the raw material—study objectives, methodology, statistical outputs, and key references—so you can focus on narrative flow, logical argumentation, proper citation (Vancouver or APA, depending on target journal), and alignment with reporting guidelines such as STROBE. Deliverables ...

I want an Android app that SIMULATES crash game behavior for PROBABILITY ANALYSIS purposes. Requirements: - Simulated crash rounds based on probability models - Streak & volatility analysis - Auto-generated signals (Low / Medium / Avoid) - Target outcome accuracy around 75%

I need 5-7 individuals to review a draft survey on culturally responsive leadership in K-12 environments to establish content validity. Ideal skills and experience: - Expertise in survey design and validation - Familiarity with culturally responsive practices in education - Experience using Lawshe's content validity method Reviewers will provide feedback via a spreadsheet modeled after Lawshe's (1975) method.

I need AI trainer. The goal is to arrive at production-ready machine-learning models. You will receive full access to the data, a brief describing the business context behind each task. What matters most is a clear, well-documented workflow: data cleaning, feature engineering, model selection, hyper-parameter tuning, cross-validation, and benchmark reporting. I also need concise guidance notes so my in-house team can rerun or extend the work later. Deliverables • Trained model files saved with versioning and clear naming • A short report (PDF or Markdown) summarising methodology, metrics, and next-step recommendations I’ll be available for quick feedback cycles and can spin up extra compute if needed. Let’s turn this diverse data into smart, reliable insights.

I'm seeking a comprehensive literature review on diabetic retinopathy, focusing on treatment and management in underserved communities in the USA, formatted for the journal: current reports on ophthalmology Key Focus Areas: - Healthcare accessibility - Barriers to treatment - Patient education programs Preferred Sources: - Academic journals - Government reports Ideal Skills: - Strong research and writing skills - Familiarity with academic literature and citation - Background in healthcare or public health

I'm looking for a skilled analyst to provide detailed reports on basketball game statistics. The focus will be on: - Player performance metrics - Team performance metrics - Game outcome predictions Ideal skills and experience: - Strong analytical skills - Experience in sports analytics, especially basketball - Ability to create comprehensive and clear detailed reports - Knowledge of statistical software and tools Please include samples of previous work in your bids.

I have a research paper in development and want to elevate it to publication-ready quality. I’ll provide you with the current manuscript, my notes, and any supporting data; what I need back is a version that reads clearly, is backed by up-to-date sources, and meets the formatting and citation standards of high-impact journals.

Bahasa Melayu Report Urgent Task MPU

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I'm seeking a PhD mentor to assist with field data analysis for my quantitative research. Key Requirements: - Expertise in quantitative data analysis - Proficiency in SPSS, R, or Excel - Experience in mentoring PhD candidates

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I have three warehouse lots underway and need a clear picture of how much reinforcement steel is still required. All delivery records and the estimator’s budget sit in simple Excel workbooks, and I will share both the raw files and my blank forecasting template as soon as we start. Here’s what I’m expecting in the completed file: • My template fully populated with each lot’s delivered tonnage, budgeted quantities and an automatic calculation of remaining tonnage. • Built-in formulas that project future requirements based on the current usage rate, so I can spot shortfalls early. • A side-by-side comparison of budget versus actual for every line item, updating itself whenever I paste in fresh delivery data. Feel free to apply standard forecasting...

Freelance R Expert Needed: Advanced Signal Processing for Maternal, Fetal & Neonatal Health We are seeking a senior R scientist with deep experience in audio / seismic data, wavelet methods, and Bayesian modeling to help demonstrate that R is just as good as Python at surfacing early physiological health markers. This role is for someone comfortable working below the noise floor—where the signal of interest is subtle, nonstationary, and embedded in the mechanics of living systems. What you’ll work on 1. Signal conditioning & noise removal • Design and evaluate signal conditioning pipelines for low-amplitude physiological data • Implement filtering strategies to remove mains contamination (50/60 Hz and harmonics), including: o Notch / comb filters o Adaptive ...

I'm seeking an experienced fractional CTO to guide our machine learning initiatives. We have a ready-to-use dataset and need assistance with: - Model Development: Designing and building ML models. - Data Preprocessing: Preparing data for optimal model training. - Performance Tuning: Enhancing model accuracy and efficiency. Ideal Skills & Experience: - Expertise in Machine Learning - Proven track record in model development - Strong data preprocessing skills - Experience in performance tuning of ML models - Leadership experience in tech projects Looking for someone to ensure our project is on the right path and achieves its goals efficiently.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for an experienced STATA software expert to assist with data analysis. The freelancer must be skilled in STATA and deliver accurate work on time. Budget is fixed. This may turn into long-term work if performance is good. Please send a brief intro and your STATA experience.

I’m ready to bring the same structure and depth I saw in BCG’s virtual consulting exercise into my own finance function. You’ll have direct access to our raw sales data (CSV export from our ERP), and your brief is to surface two concrete insight streams: • Clear, visualised sales trends over time that reveal seasonal swings, growth plateaus, or sudden spikes • Action-oriented findings on customer purchasing patterns so we can refine cash-flow planning, discounting, and inventory strategy Once the analytics are in place, I’ll need a short slide deck or memo that converts those findings into finance-focused recommendations—for example, timing large expenditures, reshaping payment terms, or reallocating working capital. I’m comfortable with w...

I have an IRB-approved protocol and SAP psychometric study of a digital cognitive wellness battery Scope of Work (must be included in proposal) Data QC and cleaning Validate export integrity, missingness review, recodes per data dictionary Produce analysis-ready dataset + QC notes (queries list) Primary reliability analysis ICC(3,1) with 95% CI Run two ICC approaches for verification (ANOVA-derived ICC and psych::ICC output) and confirm they match as expected Secondary analyses Domain/task ICCs with CIs Practice effects (paired tests + effect sizes) Usability (SUS/TAM) summary Completion rates, validity flags, session duration Exploratory correlations with SLUMS Deliverables Reproducible R repo (scripts, README, session info, locked outputs) Word-ready statistical report (tables + concise...

We are looking for a reliable and experienced market research agent based in Ghana who can help us with product research and local market insights. This is a project-based contract, not a long-term job. The agent will be responsible for: Conducting local market research in Ghana Researching products that we provide Collecting market prices (wholesale & retail where possible) Understanding demand, competition, and buyer behavior Giving clear feedback on: Market acceptance Pricing range Opportunities & challenges Providing deep and honest market insights, not generic data Who Can Apply: Must be physically based in Ghana Experience in local markets, trading, or market research Can communicate clearly in English Able to collect real, ground-level information Honest, det...

I'm looking for an expert in crop science, specifically in plant breeding and genetics, to assist with my master's thesis. The focus of my research is on cassava, utilizing genome sequencing for genomic analysis. Key requirements: - Expertise in plant breeding and genetics - Proficiency in genome sequencing techniques - Experience with cassava or similar crops - Strong analytical and research skills - Ability to contribute to thesis development and data interpretation Ideal skills and experience: - Advanced degree in plant sciences or related field - Published research in genomics or crop science - Familiarity with bioinformatics tools for genomic data analysis - Excellent writing skills for thesis documentation

I need an Excel expert to merge multiple calculation files into a single file and add custom calculations. Requirements: - Merge existing Excel files into one - Add custom calculations, including complex mathematical formulas - Use of differential equations is required Ideal skills and experience: - Proficiency in Excel, especially with complex formulas - Strong background in mathematics, particularly in differential equations - Experience in data manipulation and file merging in Excel

I need a concise, job-ready skills assessment that P&G can use to screen candidates. The test must cover two areas: • Technical component – centred on Data Analysis. Think practical dataset interpretation, basic statistics, Excel/SQL manipulations, and scenario-based questions that mirror the type of analytical thinking P&G expects. • Soft-skill component – situational prompts that reveal collaboration style, problem-solving approach, and communication clarity. Please deliver: 1. A question bank (roughly 30 technical, 20 soft-skill items) tagged by difficulty and competency. 2. An answer key with clear explanations and a scoring rubric that flags pass/fail thresholds. 3. Candidate instructions plus brief guidance for hiring managers on interpreting re...

I will share a raw table of laboratory-measured water-quality parameters (pH, turbidity, dissolved oxygen, heavy-metal readings and several others). Using those records I want to end up with a supervised, decision-tree-based solution—specifically a Gradient Boosting model—that predicts overall water quality with the highest possible accuracy. Here is what I need from you: • Inspect and clean the dataset, handling outliers, missing values and inconsistent units. • Explore feature importance and, where helpful, create additional engineered features. • Train and fine-tune a Gradient Boosting decision-tree model (scikit-learn, XGBoost or LightGBM are all acceptable) with solid cross-validation. • Compare its performance against at least one other tree-ba...

I am looking for a quantitative finance freelancer to help me implement, backtest, and document fixed-income trading strategies as part of a university-level research project in Fixed Income Securities. This is a serious quantitative project, close to what you’d see in asset management, hedge funds, or rates strategy teams. Strong finance intuition matters as much as coding skills. Part A – Macro & Rates View (Light support) Assist in structuring a macro analysis framework (growth, inflation, employment). Help translate macro views into: Directional call on 10Y government bond yield Directional call on FX No forecasting magic needed — logic, clarity, and economic justification matter. Part B – Yield Curve Trading Strategies You will help code, test, and a...

I need a clear, publication-ready GIS map built in QGIS that focuses on environmental analysis, specifically local water-quality conditions. I will provide the raw spatial data for the area; your job is to run the necessary spatial analysis, clean and style the layers, and deliver a map that speaks for itself in both accuracy and visual appeal. The scope is limited to a single local region, yet I want the work treated with the same rigor you would apply to a national study. Please handle projections, manage metadata, and document any interpolation or classification methods so that the workflow can be reproduced. Deliverables must include: • The QGIS project file with all relative paths intact • A high-resolution PDF and PNG of the final map layout • Any intermediate da...

At I am expanding an internal project that explores fresh ideas in machine learning and need an intern who can jump straight into the research cycle—formulating hypotheses, building quick prototypes, running experiments, and summarising insights for the team. What you will do • Survey recent ML literature that aligns with our roadmap • Design and execute experiments to test new model architectures or training tricks • Record results, visualise them clearly, and explain the “why” behind the numbers • Iterate on your findings until we have a result worth integrating into production-grade code What you should bring Your application only needs to highlight relevant experience, but that experience must show strong analytical and problem-solving...