Statistiken Jobs

I am looking for a Quantitative Research Specialist to finalize an academic manuscript of 2000 words. I have a full draft and specific supervisor feedback. You must directly implement technical corrections to the Moderation Analysis using the Banks & Gamblin framework. This includes rewriting sections to ensure the interaction effects are logically sound, adding 5-10 missing academic citations as requested by my supervisor, and ensuring the paper fits the university template perfectly. The project requires high-level technical writing and a deep understanding of moderation models to satisfy specific university supervisor requirements. Core Requirements: • Methodological Refinement: Update the methodology section to correctly implement the Banks & Gamblin moderation framewor...

I’m looking for focused help with data consulting—specifically data analysis. I have raw information in hand but need an experienced mind to walk me through the best way to clean, explore, and interpret it so that I can make confident business decisions afterward. Here is what I have in mind: • Quick review of the dataset’s structure and quality • A live or recorded walkthrough of recommended analytical steps (tool-agnostic, though I’m comfortable with Excel, Python-pandas, or Power BI if you’d like to demonstrate) • A concise summary of key findings and next-step suggestions I can action immediately Please let me know your approach, typical turnaround for an initial consultation, and any examples of similar work you’ve guided. I&...

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.

I have seven ready-to-use datasets that must each be fitted to two candidate distributions: Gamma and LogNormal. Using R, please run the fits, calculate the full set of goodness-of-fit statistics (AIC, BIC, KS, AD, CvM) and produce four kinds of diagnostic graphics for every dataset / distribution pair: • PDF overlay on the empirical density • CDF overlay on the empirical CDF • P-P plot • Q-Q plot The plots should be delivered as high-resolution PDF files and must carry clear axis labels, legends, and concise annotations so that the reader can see which distribution is which and how well it performs. All file names should be systematic and self-explanatory. What I expect to receive 1. A clean, well-commented R script that reproduces the entire workflow on ...

I need a health economist to help with a book on cost-effectiveness analysis Key tasks include: - explaining the principles of health economic analysis - Evaluating economic impact of preventive healthcare measures - Analyzing cost-effectiveness ratios - Providing an approach for future researchers Ideal skills and experience: - Expertise in health economics or - Strong analytical skills - Experience with healthcare intervention evaluations - Proficiency in statistical software

I need a freelancer who can handle the full cycle of financial analysis for my Guesty account. The first step is technical: use Guesty’s public API to pull the raw booking and payout data, then post that data to a secure web page or dashboard that I can access in real time. Once the data is flowing, I want meaningful financial analysis built on top—profitability, liquidity, and efficiency ratios are the primary focus, but I’m open to additional KPIs you believe will help me steer the business more effectively. You should be comfortable with API integration, data cleaning, and whichever analytics stack you prefer (Python + Pandas, Power BI, Tableau, etc.) as long as the end result is a clear, drill-down view of performance. Please outline your approach for connecting...

I need help carrying out a focused nutrition-status study that brings together three data streams and merges them into one clear report. Deliverables • Anthropometry: please measure and record BMI, waist-hip ratio for adults, and weight-for-age plus height-for-age for the children in the sample. • Diet: collect one precise 24-hour dietary recall per participant, following the multiple-pass method, and organise the entries in a nutrient-analysis spreadsheet. • Clinical signs: document observable vitamin or mineral deficiency indicators and note physical signs linked to obesity or metabolic syndrome. Once collection is complete, analyse the figures (Excel, SPSS, or R are all fine), generate summary tables and graphs, interpret the findings against accepted reference valu...

I need focused guidance for a forthcoming SHL assessment. My requirement is quite general—I’m not limiting support to a single section—yet the numerical component is where I expect the most intensive help. Within that part I want to work through: • Data interpretation • Basic arithmetic • Advanced mathematics I’d like direct assistance with the test itself rather than prerecorded material or generic practice sets, so please be comfortable working in real time and explaining solutions as we progress. Experience with SHL formats, tight time limits, and the calculator-allowed style of questioning will be essential. If you’re confident you can help me boost accuracy and speed across the assessment, let’s set up a session and outline ho...

I’d like a data-savvy partner who can dive into our raw inventory history and surface clear, actionable trends. The sole objective is to analyze historical data—specifically inventory data—so our team can understand how stock levels have moved over time and where the pressure points sit. Here’s what I have: several years of SKU-level records housed in a SQL database, plus a few CSV extracts. I need you to pull and clean the data, run robust trend analysis in Python (Pandas, NumPy, preferably some Matplotlib or Seaborn visuals), and package the insights so they are easy for our planners to act on. Time-series forecasting or demand planning frameworks aren’t required right now, but please structure the code so we could layer those in later if needed. Deliverab...

I need a comprehensive systematic review on the efficacy of Laser-Activated New Attachment Procedure (LNAP) with Scaling and Root Planing (SRP) versus open flap debridement in treating periodontal defects. Key Requirements: - Include studies from PubMed, Cochrane Library, and Google Scholar. - Perform statistical comparisons and meta-analysis. Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis. - Strong background in periodontal research. - Proficient in statistical analysis software. - Familiarity with the specified databases. Please provide relevant credentials and experience in your bids.

I need a seasoned statistician who can move comfortably between classical regression techniques and modern Convolutional Neural Networks. The project centres on predictive analytics: you will build, compare and explain regression-based models, explore where a CNN adds value, and present the insights through clear, publication-ready visualisations created in Python (think pandas, scikit-learn, TensorFlow/Keras, matplotlib, seaborn or Plotly—use what fits best). We will begin with a brief video call so I can walk you through the dataset, the business question and the success metrics. After that, you will take full ownership of data preparation, model selection, training, validation and visual storytelling. Expect to hand back clean, well-commented notebooks and graphics that a non-tec...

I need an expert in Python to help with data analysis and processing tasks, specifically focused on unstructured data such as text or images. The ideal candidate should be proficient in Python libraries and tools designed for handling unstructured datasets. Your role will involve creating scripts or solutions to extract insights, patterns, or other relevant analyses from the data provided. If you have a strong command over libraries like Pandas, NumPy, or specialized tools for text and image processing, I’d love to hear from you.

I’m looking for help locating current part-time openings in the Administrasi field that fit my background and schedule. Here’s what I need: • A curated list of at least 15 active part-time administrative positions in my city or remote, gathered from reputable job boards, company sites, and professional networks. • For each role, include the job title, organization, application link, closing date, key requirements, and a brief note on why it matches my profile. • A simple spreadsheet or Google Sheet to track applications, deadlines, and follow-up dates so I can stay organized. If you can also suggest minor résumé or cover-letter tweaks that align with the postings, that’s a plus, but the main deliverable is the targeted job list and t...

I need a comprehensive costing model created. This model should be automated and take into account various pricing factors for procurement and IT services. Essential Requirements: - Pricing factors: Supplier prices, Logistics costs, Tax implications, FTE, - Input data: Excel spreadsheets - Automation is key - Must be delivered ASAP Ideal Skills and Experience: - Expertise in Excel and data modeling - Experience with procurement costing models - Strong background in logistics and tax implications

I have several large RNA-seq datasets from TCGA covering multiple cancer types, and I need a focused survival analysis that links gene-level and gene-set activity to overall and progression-free survival. All raw counts, FPKM tables and the matched clinical files are already in place; what I require is the analytical workflow and an interpretable report. Here is the workflow I would like you to follow: • Pre-process and normalise the RNA-seq count data, matching each sample unambiguously to its clinical record. • Build Kaplan-Meier curves and multivariable Cox proportional-hazards models to identify genes whose expression significantly associates with survival outcomes, adjusting for key covariates (age, stage, subtype, etc.). • Run GSEA (Gene Set Enrichment Analysis) ...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

I'm looking for an expert to create visualizations for user behavior data. The primary goal is to help us understand patterns and insights through data visualization. Key requirements: - Expertise in data visualization tools (e.g., Tableau, Power BI, D3.js). - Experience with user behavior data, particularly in website interactions, mobile app usage, or social media engagement. - Ability to transform complex data sets into clear, actionable visual insights. - Strong analytical skills to interpret data and provide meaningful recommendations. Ideal candidates would have a background in data science or analytics and a portfolio showcasing similar projects.

I am writing to inquire whether you would be available to provide statistical support for a prospective research project I am currently conducting. The study is complete in terms of data collection and laboratory analysis, and I am now seeking guidance on the most appropriate statistical analyses and interpretation. Project title: Reference intervals for FIBTEM measurements using the ROTEM® gamma device in healthy dogs compared to fibrinogen concentration measured by the Clauss assay. Study objectives: 1. To establish reference intervals for FIBTEM parameters obtained using the ROTEM® gamma device in healthy dogs. 2. To assess the clinical acceptability of these reference intervals compared to fibrinogen concentration measured by the Clauss assay. Dataset overview: The dataset i...

I need my operational data—currently stored across several Excel workbooks—turned into interactive Power BI reports that make trend-spotting and drill-downs effortless. The focus is on robust reporting and analytics rather than a one-off dashboard, so the solution should be scalable and easy for me to refresh whenever new spreadsheets arrive. If you’re interested, send a detailed project proposal outlining the steps you would take to: • connect and clean multiple Excel sources • model the data for accurate relationships and DAX measures • design intuitive visuals that highlight KPIs, variances, and historical trends • deliver a ready-to-share .pbix file plus a short hand-off guide Everything will be built on Excel inputs for now, though I...

I need help with a Python exercise focused on data analysis. Key tasks include: - Data cleaning/extraction - Visualization/plotting - Statistical analysis Ideal skills and experience: - Proficiency in Python, especially with libraries like Pandas, NumPy, and Matplotlib - Experience with data cleaning and preparation - Strong data visualization skills - Background in statistical analysis

I am looking for experienced Mathematics teachers who can teach the IB, IGCSE, and Singapore curriculum for students from Grades 5 to 12. The teacher should have strong subject knowledge and be able to explain mathematical concepts clearly using different teaching methodologies so that students can easily understand, while adapting lessons to suit students of varying learning abilities. The ideal candidate must be patient, supportive, and professional, with a genuine interest in helping students succeed. As this is an online teaching role, the teacher must have a clear, high-quality webcam, a good microphone with clear audio, a stable high-speed internet connection, and a writing tablet or digital writing pad to demonstrate solutions and explain concepts live during lessons. Prior experi...

Hola, busco personas dispuestas a ayudarme a completar mi proyecto a tiempo. Proporcionaré toda la información necesaria para comprender y realizar el trabajo. Se prefieren principiantes. Gracias.

Help provide a analysis on the commercial side

I'm seeking comprehensive support for my master's research. The project involves: - Research and Literature Review: Identify and summarize key sources. - Data Analysis: Analyze collected data using appropriate statistical methods. - Writing and Editing: Help draft, refine, and polish the final document. Ideal Skills and Experience: - Advanced degree in relevant field - Expertise in research methodologies - Proficiency in data analysis tools (e.g., SPSS, R) - Strong writing and editing skills Looking for someone detail-oriented, reliable, and experienced in academic research.

Necesito desarrollar un modelo hidroeconómico que me permita optimizar el uso del agua a través de esquemas de reuso con recuperación de nutrientes, centrándome en la eficiencia económica del sistema de tratamiento, teniendo en cuenta la recuperación de fertilizantes, costes del tratamiento, valor económico de nutrientes recuperados. Busco una solución que combine la componente hidrológica (disponibilidad y calidad del agua) con la componente económica (costos de tratamiento, beneficios por fertilizante recuperado, restricciones presupuestarias) para identificar la asignación y operación óptima del recurso. Entregables clave: • Formulación matemática completa del modelo, con ...

Necesito desarrollar un modelo hidroeconómico que me permita optimizar el uso del agua a través de esquemas de reuso con recuperación de nutrientes, centrándome específicamente en la recuperación de fertilizantes. Busco una solución que combine la componente hidrológica (disponibilidad y calidad del agua) con la componente económica (costos de tratamiento, beneficios por fertilizante recuperado, restricciones presupuestarias) para identificar la asignación y operación óptima del recurso. Entregables clave: • Formulación matemática completa del modelo, con supuestos claramente documentados. • Implementación funcional en la plataforma de tu elección (Python, GAM...

Estoy ultimando el temario de mi especialidad y unos ejercicios sencillos de Anatomía Patológica, estadística, nutrición ue enfermería se me están resistiendo. Necesito que alguien con dominio probado en algunas de estas materias me entregue la resolución paso a paso de varios ejercicios sencillos con un lenguaje claro para que pueda comprender el razonamiento detrás de cada respuesta. Prioridad • Anatomía Patológica: ejercicios de nivel básico, Enfermería, Nutrición y estadística, aunque solo quienes me escriba sepa de una. Qué espero recibir 1. Soluciones completas y correctas de los ejercicios que te enviaré. Ejercios sencillos si es tu materia (test, casos pequeñ...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I’m commissioning a full-cycle study that places budget assessment at the centre of our work with non-profit organisations. The assignment weaves together four strands—monitoring economic data, evaluating current economic projects, running a focused budget survey, and shaping an advocacy narrative that can move stakeholders to action. The heart of the job is a rigorous look at how non-profits plan, allocate, and report their resources. You’ll need to: • Track and analyse the economic indicators that matter to our sector, translating raw data into clear insights. • Evaluate selected programmes against their stated economic objectives, highlighting value for money and policy alignment. • Design and implement a concise budget survey that captures both ...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I have been researching our city’s transportation network from an industrial-engineering angle and now need a fresh set of expert eyes to turn the findings into a concrete investment roadmap. The study is centered on the public transit system and we have already gathered real-time operational and usage data. Here is what I need next: • Analyse the real-time datasets to spot inefficiencies, capacity gaps, and cost drivers. • Build clear investment strategies that improve service quality while maximizing financial return and long-term sustainability. • Quantify projected impacts on ridership, operating costs, and wider economic benefits such as tourism growth and better university-campus connectivity. • Present everything in a concise report supported by ...

I have a curated dataset of abdominal X-ray images that needs a robust deep-learning model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your exp...

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I’m putting together a structured career-planning programme for students and recent graduates who are still unsure about their next step. What I need from you is a complete roadmap that covers three pillars: • Skill assessment & development – an easy-to-follow process (personality or aptitude tests, competency mapping, and a clear gap analysis) that ends with an actionable learning plan. • Networking strategies – concrete methods for building a professional network from scratch, including sample outreach scripts, LinkedIn optimisation tips, and guidance on finding mentors or industry groups. • Job-market analysis – up-to-date research on growth sectors, entry-level salary ranges, regional hiring trends, and any credible data sets or dashboard...

I run an internal up-skilling program for fresh graduates who have just joined our team and I’m looking for a trainer who can take them through AI agents, Python programming, and core Machine Learning concepts while walking them through a demo chatbot and one or two small sample applications. The classes will be online on Fridays, Saturdays, and Sundays, any 1–2-hour slot you prefer between 6 pm and 9 pm IST. A strong mix of digital whiteboard explanations, concise PowerPoint slides, and live screen-sharing is essential so the learners can both follow the theory and code along in real time. For each session I will need: • well-structured slide deck or whiteboard notes • the live notebook / script you write during class • a short, working demo project or e...

I am seeking an experienced academic researcher to deliver a complete, journal-ready research paper on Explainable AI (XAI) for predicting and interpreting student academic performance. The study must use multiple academic data sources (exams & quizzes, assignments & projects, and class participation records), which I will provide in CSV format. Scope of work: • Clean, preprocess, and align datasets using student IDs and time frames • Perform relevant feature engineering • Build at least one strong predictive model (with optional comparisons) • Apply explainability techniques such as SHAP, LIME, decision trees, or equivalent, with clear justification • Evaluate predictive performance and interpretability • Produce publication-quality visualizat...

I’m preparing a research paper that demonstrates how explainable AI can predict and interpret student academic grades using a mix of exams and quizzes, assignments and projects, plus class participation records. I already have raw datasets in CSV form; what I need is the complete experimental pipeline and a well-structured manuscript ready for journal submission. Here’s what I’m expecting: • Clean and engineer the three data sources so they align on student IDs and time frames. • Build at least one solid predictive model—feel free to compare alternatives—but tie every result back to a clearly articulated explainability layer (e.g., decision trees, SHAP, LIME or any other method you justify). • Evaluate accuracy and, just as important, hig...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I need a data-savvy investigator to help me confirm whether social-media content is being deliberately down-ranked or hidden. My sole aim is to identify suppressed algorithms, with a particular emphasis on content-visibility suppression on major social platforms. You will design and execute an evidence-based study: gather relevant data points (public APIs, scraped feeds, or previously archived datasets), apply statistical or machine-learning techniques to spot anomalous reach patterns, and document any rules, thresholds, or signals that appear to mute posts. I am open to your preferred toolkit—Python, R, SQL, or specialty OSINT platforms—as long as the workflow is reproducible. What matters most is a clear, defensible methodology, transparent code, and a concise explanati...

My QRadar deployment needs a sharper eye on phishing. I want a set of custom Alert and Correlation rules that reliably pick up everything from the first suspicious e-mail event to follow-up user activity that hints the attack is moving forward. Scope • Build correlation logic that ties together indicators such as mail-gateway detections, odd mailbox rules, risky web clicks, and any subsequent authentication anomalies. • Create alert rules that trigger actionable offenses the moment a phishing pattern emerges. The rules must fit neatly into existing QRadar best practices: use building blocks where appropriate, keep AQL searches efficient, and document each rule so another analyst can tune or extend it later. Acceptance A rule set that fires during lab replay of know...

I have a structured e-commerce dataset sitting in Excel/CSV format that needs a thorough exploratory data analysis. My goal is to turn raw tables into an insightful visual narrative—clear charts, concise commentary, and an executive-style report or interactive dashboard that highlights the key patterns hiding in the numbers. Here is what I need from you: • A clean, well-documented analysis (Python with pandas, seaborn/matplotlib or R tidyverse are fine) that walks through data profiling, outlier handling, and any necessary feature engineering. • Compelling visualizations—think sales trends, category performance, customer behaviour—that can be dropped straight into a slide deck or shared as an interactive report (Tableau, Power BI, or a notebook with embedded...

I need a robust leveraged-buyout model built from scratch that I can drop straight into my private-equity and investment-banking workflows. The file must run end-to-end: operating forecast, debt schedules, cash waterfalls, sensitivity tables, and an investor-level returns summary. I tend to layer this model onto CIM data, so speed and flexibility of the template matter more than heavy formatting. If you have closed-deal or pitch-book experience with LBO modelling, show me that background in your bid—real transactions, live mandates, or fund-side work all resonate more than generic coursework. No lengthy proposal decks are necessary; I’m only weighing the depth of your experience and any quick screens or snapshots that prove it. Deliverables • Clean, unlocked Excel fil...

I'm looking for an expert in multi-fidelity Bayesian optimization to optimize material science processes, potentially focusing on reaction optimization. Key requirements include: - Optimize processes using numerical and categorical data - Experience in material science and Bayesian optimization - Strong analytical skills to interpret complex datasets Ideal skills and experience: - Proven track record in multi-fidelity Bayesian optimization - Background in material science, particularly in reaction optimization - Proficiency in handling both numerical and categorical data

I need a data analytics expert to analyze key datasets. Key requirements include: - Analyze sales, customer, and operational data. - Identify trends, make predictions, and improve efficiency. - Deliver insights for reports, business decisions, and strategy development. Ideal skills and experience: - Proficiency in data analytics tools (e.g., Python, R, SQL). - Strong analytical and statistical skills. - Experience in generating actionable insights from complex datasets. - Ability to communicate findings clearly. If you have a proven track record in data analytics and can work within my budget, I would love to hear from you.

I need help analyzing a collection of text-based data for an ongoing research project. My background is in artificial intelligence and data science, yet I want a fresh perspective on exploratory analysis, pattern discovery, and interpretation so the insights are both rigorous and clearly actionable. The core task is straightforward: ingest the raw text files I provide, clean and structure them appropriately, then run exploratory and statistical analyses that reveal key themes, sentiment trends, and any significant correlations you uncover. Feel free to use Python with pandas, NumPy, NLTK, spaCy, or other standard NLP and data-analysis libraries—whatever you are most comfortable with as long as the workflow is reproducible. Because I don’t have a hard deadline, quality and cla...

My dataset on post-operative recovery in Orthopaedic Surgery is complete, and I need help writing the research article that can move straight into peer review. The scope is a primary study on patient outcomes, not a review article or case report, so every section—from structured abstract through Discussion—must follow the conventions of an original investigation. Here is what I will provide: the anonymised spreadsheet, basic statistical outputs (SPSS), operative protocols, and institutional ethics approval. What I expect back is a manuscript written in clear scientific English, formatted to the target journal’s author guidelines (Vancouver referencing, figure resolution, word limits, CONSORT flow diagram where applicable) and uploaded through the journal’s online ...

I need a concise, well-documented Python workflow that turns raw customer data into clear, decision-ready insights. The files arrive as CSV exports from our CRM and contain purchase history, demographic fields, and basic engagement metrics. I want the code to: • load and clean the datasets (handle missing values, standardise field names) • explore key patterns—frequency of purchase, average order value, cohort retention, and any other meaningful customer behaviour metrics • generate charts or interactive visuals that I can drop straight into presentations (matplotlib, seaborn or Plotly are fine) • export a short written summary of findings, ideally as a Markdown or PDF report Pandas, NumPy, and a mainstream visualisation library are expected; if you prefer...