SPSS Statisztikák Jobs

I'm seeking an expert in inorganic chemistry, specifically solid-state chemistry, to assist with research and analysis. Key Requirements: - In-depth knowledge of solid-state chemistry concepts - Experience in research methodologies - Ability to analyze and interpret complex data - Strong background in inorganic chemistry Ideal Skills and Experience: - Advanced degree in chemistry or related field - Proven research experience in solid-state chemistry - Excellent analytical skills - Strong written and verbal communication skills Please provide a brief overview of your relevant experience and approach to the project. Familiar with building chemical structures using avogadro program then doing stimulation studies using DFT method .

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...

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. ...

My preferred candidate would be a control-engineering researcher or experienced industrial research engineer, ideally with a PhD in control systems, electrical engineering, mechanical engineering, systems engineering or a closely related subject. Equivalent practical experience is acceptable; a PhD alone is not enough. Skill What I would require Control systems and optimisation Practical experience implementing and evaluating model predictive control, including constraints, changing workloads and switching costs. Python and reproducible simulation Ability to inspect numerical code, install a documented environment, rerun experiments and preserve configurations, logs and results. Experimental design and statistics Ability to assess fair comparisons, held-out testing, uncertainty, correlated...

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 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...

I’m looking for a seasoned recruiter or talent-sourcing professional to help me land a fully remote Software Developer position with a mid-sized company, anywhere in the world, paying at least $20 per hour. Here’s the background you’ll be working with: I specialise in programming, particularly Python, and have solid experience building and maintaining applications end-to-end. I’m open to any tech stack that values strong problem-solving skills and clean, maintainable code. What I need from you • Pinpoint suitable vacancies that match the pay floor and remote requirement. • Optimise my résumé, portfolio and LinkedIn profile for each opportunity you present. • Handle or advise on outreach, applications and interview scheduling so the...

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...

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 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 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 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...