Analisi Statistica Jobs

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

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

I need a 4 000–5 000-word manuscript on “Nanostructure Control and Acid Resistance Mechanism of Fluorosilicone-Modified Epoxy Resin Coatings” prepared to the standard of an EI-indexed journal. The discussion must revolve chiefly around nanostructure control, using an experimental study framework. Within that framework, please put particular emphasis on the materials and their precise composition as well as on a clear, data-driven presentation of results and analysis. I will supply any supplementary lab records and raw data you request; you handle the full academic write-up, including abstract, introduction, methodology, results, discussion, conclusion, and properly formatted references (preferably recent, high-impact sources in surface-coating science). Deliverables ...

I need a well-structured paper survey that feeds directly into the data-collection chapter of my doctoral dissertation. The instrument must be academically rigorous, grounded in recent peer-reviewed literature, and framed so that professionals—my target respondents—can complete it in one sitting without fatigue. Content requirements • A balanced mix of multiple-choice items for quick quantitative insights, carefully worded Likert-scale statements to capture attitudes, and a select set of open-ended prompts that invite richer qualitative commentary. • Logical sectioning that mirrors my research questions and variables, with clear skip logic noted where relevant. • Brief scholarly justification for each item or scale (APA citations are fine) so I can defen...

I'm looking for Mathematics and Biomedical research expert and engineer to help out with project ideas and execution.

I have a CSV file containing several thousand input-output pairs and I’m looking for a fresh analytical perspective on whether any meaningful statistical pattern exists in the data. The dataset is purely numerical and abstract, so it can be approached using any appropriate mathematical or statistical techniques such as correlation analysis, transformations, dimensionality reduction, information-theoretic measures, or other exploratory methods. What matters most is evidence. I would like to determine first whether the outputs can be reliably modelled from the inputs, and second, what kind of mathematical structure might explain any observed relationship. If a reproducible pattern emerges, the goal would be to characterize it and assess how well it generalizes to unseen rows. If the d...

I am preparing a full-length manuscript for submission to a Q1 SSCI economics journal on the theme of machine learning–driven economic-growth prediction. The core of the article must showcase concrete applications and real-world case studies rather than abstract algorithmic discussions. I want a genuinely global perspective, so the empirical section should compare or combine economies across different income levels rather than concentrating on a single region. All quantitative work has to rely on publicly available government databases—think World Bank, OECD, IMF, national statistical offices—so that review-ers can easily replicate the results. You are free to merge multiple sources as long as every dataset is openly accessible. Key expectations • 8,000–1...

Psychology grad & HR professional ready to help! HR Admin & Data Entry (Excel, Word, PPT) Content Writing & Articles Psych Statistics: Scoring, Interpretation, & Data Analysis Software: SPSS, LISREL, Mplus Interested? Follow or DM me directly!

I need a comprehensive medical clinical audit conducted to meet academic requirements. This audit is not for course development but solely for assessment purposes. Key Requirements: - Detailed evaluation of clinical processes - Comprehensive report for academic submission Ideal Skills and Experience: - Background in healthcare or medical auditing - Strong analytical and reporting skills - Familiarity with clinical guidelines and regulations

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

I need a detailed prospectus for my scientific research thesis. The prospectus should focus on discovering new information, specifically mechanisms or processes. Ideal Skills and Experience: - Strong background in scientific research - Experience in writing academic thesis prospectuses - Ability to clearly articulate research goals and methodologies - Knowledge of various scientific mechanisms or processes Healthcare focus

I have a sizable set of customer data sitting in CSVs and I want it turned into clear, actionable insights. Right now I’m still deciding which angle will be most valuable—anything from simple descriptive trends through to predictive or even prescriptive models is on the table—so I’d like your input on what the data can realistically deliver. Here’s what you’ll be working with • Customer profiles (demographics, acquisition source) • Historical purchase records and spend patterns • Engagement logs from email and in-app activity What I need from you 1. A short plan outlining the analysis path you recommend once you’ve skimmed a sample of the data. Feel free to propose segmentation, churn risk scoring, lifetime value estima...

I have a data set from comparative studies and I need the full analytical cycle carried out in SPSS right away. The work covers three layers: descriptive statistics to profile the sample, inferential tests to detect significant differences between the study groups, and a regression model to pinpoint predictors of the main outcome. Please import the raw file into SPSS, verify coding, run the analyses, and return a concise report that explains each result in plain language together with the .sav file and syntax so everything is fully reproducible. I am ready to start immediately and would like the first set of tables and figures back as soon as you complete them so we can keep momentum.

Here are some important exam details: Logistics: You will have the full 90 minutes to complete the exam. No Cheat Sheet/Calculators: The exam is closed-book, and no sheets are allowed. You will not need a calculator for the exam, as most questions are conceptual or will not require much calculation. As such, calculators are not allowed. Format: The exam will consist of multiple-choice (with no partial credit), short answer, and long form answer questions. Content: Modules 1-9 (see below for module names) from the beginning of the semester up to and including this Thursday's lecture (2/19) will be included on the exam (each module will be represented approximately evenly, and we will mainly focus on the content in the HWs and lectures). Module 1: Intro to Big Data Analytics Modu...

Our historical sales data is signalling shifts that we don’t fully understand yet, so the priority is a diagnostic analysis that tells us not just what changed, but why it changed. The raw tables cover order details, customer attributes, product SKUs and daily revenue going back three years. Primary questions on the table: • How have sales trends evolved month-to-month and season-to-season? • Which customer segments are driving (or dragging) revenue, and how has their purchasing behaviour shifted? • Which products or product groups are over- or under-performing once promotions, returns and stock-outs are factored in? A clean, reproducible workflow in SQL, Python (Pandas, NumPy, Sci-Py) or R is essential so the team can rerun the analysis after future data drops...

I’m running an academic study and need a reliable partner to gather a clean, well-structured dataset. The precise source is still open—fresh survey responses, publicly available web data, or even existing transactional records are all on the table. What matters is that the data be captured ethically, documented thoroughly, and delivered in a format ready for statistical analysis. Here’s what I need from you: • A brief proposal outlining the collection strategy, recommended tools (e.g., Qualtrics, Python/BeautifulSoup, Selenium, SQL, Excel), and estimated timeline • The final dataset in CSV or equivalent, fully de-duplicated and consistently formatted • A concise data dictionary describing each variable • A short methodology note (1-2 pages) exp...

I want clear, data-driven insight into how much shoppers are willing to pay for different styles and qualities of bedsheets. The assignment is straightforward: research the market with price sensitivity as the core metric, then translate the findings into concrete recommendations I can act on. I need you to: • Gather current retail and online price points for comparable bedsheets, noting fabric type, thread count, and brand position. • Speak with or survey a representative sample of potential buyers to learn at what prices they hesitate, switch brands, or decide to purchase. • Present the raw data along with a concise report that highlights optimal price bands, threshold prices that trigger resistance, and any seasonal or promotional patterns you discover. A simp...

I need help with coding and thematic analysis using NVivo for my hermeneutic phenomenology study. Tasks involve: - Assisting with importing and managing data in NVivo. - Helping with coding and memoing. Ideal skills and experience: - Proficiency in NVivo, especially in importing data and coding. - Experience with qualitative research and thematic analysis. - Strong organizational skills.

I need a comprehensive research proposal investigating the impact of delays in variation order approvals on contractor performance, specifically focusing on cost efficiency, in Dubai's infrastructure sector. Key focus areas: - Analyze the impact of these delays on cost efficiency. - Identify and propose process improvements to mitigate these delays. Ideal skills and experience: - Strong background in construction management or related fields. - Expertise in research methodologies. - Experience with process improvement strategies. - Knowledge of the Dubai infrastructure sector is a plus.

I am preparing for the official GRE and need guidance and support that will push my current practice score of 300-302 up to the 325-333 range. I want a tutor who has personally achieved a score in that band within the last year, so you can pass along fresh, first-hand strategies rather than dated theory. The help must cover all three sections—Quantitative Reasoning, Verbal Reasoning, and Analytical Writing—because I need balanced improvement, not just a boost in one area. I learn fast when explanations are backed by recent test experience and when I can see the reasoning behind every choice, shortcut, and essay outline. Sessions will be online only, using whatever interactive whiteboard or screen-sharing tools you prefer (Zoom, Google Meet, etc.). Ideally, you will: • D...

Required: A specialist expert in climate modeling and simulation to carry out a professional climate simulation using globally recognized climate models. Practical experience is required in operating one or more of the following models: WRF (Weather Research and Forecasting Model) RegCM (Regional Climate Model) MPAS CESM INM-CM Or any recognized regional/global climate models used in climate research. The objective is to analyze climate variables and study environmental impacts before and after with high scientific accuracy. Proven experience is required in: Handling reanalysis datasets such as ERA5 or equivalent Running different simulation scenarios Analyzing outputs and performing statistical comparisons Applicants are requested to provide the following: Samples of previous simi...

I'm seeking an expert in clinical psychology, specifically in systemic approaches, to assist with my master's research paper. The focus is on systemic clinical psychology, and the methodology employed will be systemic. Key Requirements: - In-depth knowledge of systemic clinical psychology. - Strong research skills, particularly in systemic methodologies. - Ability to analyze and synthesize complex psychological concepts. - Excellent academic writing skills. - Prior experience with master's level research papers is a plus. Ideal Skills and Experience: - Advanced degree in psychology or related field. - Background in systemic theory and its applications in clinical settings. - Experience in conducting and writing up research in psychology.

I need an application that leverages AI to analyze market research survey data. The primary aim is to gauge public sentiment on social issues and government policy. Key Requirements: - Analyze survey responses - Identify key findings - Generate a report on ppt format with data visualization Ideal Skills and Experience: - Proficiency in AI and machine learning - Experience in data analysis, especially with survey data - Knowledge of sentiment analysis techniques - Ability to build user-friendly applications Looking for freelancers who can deliver accurate and actionable insights efficiently. Preferrably based in Singapore to facilitate face-to-face interactions.

Overview We are hiring 3 experienced Data Scientists to participate in a structured data challenge as part of a paid engagement. This is not a generic Kaggle-style competition. You will be exploring an AI-native data platform, analyzing real-world event data, and submitting a structured, reproducible project. If selected, you’ll be compensated for your participation and submission. What You’ll Be Doing Explore a new AI-powered data workspace Analyze user behavior/event data Define your own success metrics Build insights using statistical/ML techniques Submit: A complete reproducible data project A written summary explaining methodology and findings A public project link You will be working individually. Ideal Candidate We’re looking for someone who: Has basic under...

I need to gather reliable survey responses quickly and efficiently through an online form. Please help me: • Design a clear, user-friendly questionnaire that captures the exact information I need. • Build and deploy the form on a suitable platform—Google Forms, SurveyMonkey, Typeform, or whichever tool you recommend for best reach and analytics. • Distribute the survey link to the target audience and monitor incoming responses. • Clean, organize, and deliver the raw data in a spreadsheet, along with basic response statistics (completion rate, key charts, and any flagged anomalies). Experience with online survey tools, data validation, and responsive design is essential. Let me know your preferred platform, estimated timeline, and any questions you have abo...

I need an experienced EViews user to run an ARDL model that will let me formally test a clearly-defined hypothesis on a set of financial variables. The data are already collected in raw Excel sheets; what I’m missing is the best-practice workflow that takes those figures from rough form to a defendable econometric result. Here’s what I expect the engagement to cover: • Initial guidance on cleaning and transforming the raw series (log/level choices, missing values, outlier checks). • Stationarity diagnostics, optimal lag selection and the full bounds-test procedure inside EViews. • Estimation and interpretation of the long-run and short-run coefficients that speak directly to the hypothesis. • Delivery of the EViews workfile together with a brief write...

I’m about to launch a Biodiversity Net Gain initiative and need a clear, defensible baseline of the habitats on site so future uplift can be measured with confidence. The land in scope is a mix of established woodlands, grasslands and a pond are included at this stage. Your primary task is to assess current baseline using metric 4 by on-the-ground field surveys; remote sensing and purely photographic audits won’t be enough, although you’re welcome to supplement your visit with geotagged images where they strengthen the evidence. Because the findings will feed straight into a Biodiversity Metric (v4.0) calculation, I need results presented in a format that drops neatly into that workbook. The site is less than four acres postcode LE14 • A concise report exp...

Saya ingin menjalankan proyek pengembangan keterampilan dengan fokus khusus pada Analisis Data. Tujuan utama saya adalah membangun pondasi yang kokoh sekaligus memperdalam praktik terbaik sehingga produktivitas, profesionalisme, dan efisiensi kerja meningkat secara nyata. Ruang lingkup yang saya butuhkan: • Penyusunan kurikulum ringkas namun terstruktur mencakup statistik dasar, eksplorasi data, hingga visualisasi. • Materi pembelajaran yang mudah dipahami—slide, catatan singkat, serta contoh kode—menggunakan alat umum seperti Python (pandas, matplotlib) atau SQL, sesuai kebutuhan. • Sesi praktik berbasis studi kasus nyata agar saya dapat langsung menerapkan teknik cleansing, analisis, dan interpretasi hasil. • Penugasan singkat dengan umpan balik ter...

Saya tengah menyiapkan proyek kreatif yang memadukan ilustrasi digital dengan pemanfaatan Natural Language Processing. Fokus pertama saya adalah memperoleh satu gambar karakter full-color berkualitas tinggi. Di sisi lain, saya ingin mulai merintis model NLP dasar yang nantinya bisa diarahkan ke use-case terbaik—apakah chatbot, klasifikasi teks, atau terjemahan masih terbuka untuk diskusi. Ruang lingkup kerja: • Satu ilustrasi digital resolusi tinggi (layer terpisah, format PSD/PNG). • Dokumentasi singkat workflow gambar: software, brush, ukuran kanvas. • Notebook atau skrip Python yang membangun model NLP sederhana menggunakan library umum (TensorFlow, PyTorch, atau spaCy). • Panduan ringkas untuk melatih ulang model dengan dataset saya di kemudian hari. ...

**Statistical Analysis & Q2 Journal Publication – Survey-Based Research Paper** --- Project Description I am seeking an **experienced academic researcher** to **analyze survey data statistically, write a complete research paper, and publish it in a Q2-indexed journal**. The survey data is already collected. The work involves **rigorous statistical analysis**, academic writing, journal selection, and handling the **peer-review process until acceptance**. This project is **strictly for researchers with prior Q1/Q2 publication experience**. --- Scope of Work The freelancer will be responsible for: * Understanding the survey dataset and research objectives * Performing **statistical analysis** (e.g., descriptive stats, reliability tests, hypothesis testing, correlation, re...

I need a comprehensive 20-page Ph.D. literature review on "Coal Based Power and Carbon Markets in India: Firm Readiness and Strategic Responses to the CCTS under the Net‑Zero Transition". The review should focus on: - Firm readiness for CCTS - Strategic responses to CCTS - Impact of carbon markets in India Emphasis should be on academic journal sources, prioritizing: - Technological preparedness - Financial preparedness - Regulatory compliance Ideal skills and experience: - Expertise in environmental economics or energy policy - Strong research and academic writing skills - Familiarity with carbon markets and CCTS

Senior Laravel Developer Needed for Gaming API Development (Complex Business Logic) We are looking for an experienced PHP Laravel developer to build a robust Gaming API system involving complex business logic, statistical computations, and dynamic result generation. This is a backend-heavy project requiring strong analytical skills and experience implementing structured business rules. The frontend will be developed in React JS, and the database will be MySQL. Technology Stack (Mandatory) : - Backend: PHP (Laravel Framework) Frontend: React JS (API consumption only) Database: MySQL API Type: RESTful APIs Architecture: Clean, scalable, and well-documented Scope of Work : - The developer will be responsible for: Designing and developing secure Gaming APIs in Laravel Implementing...

I’m sitting on a sizeable finance dataset and need more than a retrospective look—I want clear, data-driven guidance on what to do next. The first step is a concise summary of the historical numbers so we can anchor the conversation; from there, the real focus is prescriptive analysis that translates those patterns into actionable recommendations. You’ll clean and explore the data, highlight the key historical insights, then build an optimization or scenario-based model that prescribes concrete actions (e.g., portfolio rebalancing, cost-cutting levers, revenue-boost initiatives). Python with pandas, NumPy, scikit-learn—or R with tidyverse—is fine as long as the workflow is fully reproducible and the logic is transparent. Deliverables • Cleaned dataset...

I need assistance with my PhD thesis in Mechanical Engineering, specifically focusing on machining and optimization using Experimental Methods & doe & pso algorithm Key Requirements: - Deep understanding of machining processes and optimization techniques. - Proficiency in experimental methods for data collection and analysis. - Ability to analyze results, and contribute to thesis writing. - Strong background in Mechanical Engineering principles. Ideal Skills and Experience: - Advanced degree in Mechanical Engineering or related field. - Excellent written communication skills for thesis documentation. Looking for a dedicated and knowledgeable freelancer to collaborate on this academic endeavor.

Saya sedang menyiapkan materi untuk tampil di podcast Raditya Dika berjudul “Kenapa Laki-Laki Tidak Bercerita”. Agar segmen saya kuat dan kredibel, saya membutuhkan riset berbasis data atau fakta tentang kesehatan mental atau emosional pria, lengkap dengan strategi atau saran praktis yang bisa langsung saya bagikan ke pendengar. Ruang lingkup pekerjaan: • Mengumpulkan dan merangkum studi ilmiah terkini, survei nasional, atau laporan lembaga tepercaya terkait kebiasaan pria dalam bercerita, tekanan sosial, dan dampaknya pada kesehatan mental. • Menyusun insight utama ke dalam poin-poin singkat namun padat data (statistik, kutipan peneliti, contoh nyata). • Merancang minimal 5 strategi praktis yang mudah diterapkan pendengar—misalnya teknik komunikasi, l...

**HIRING: PROFESSIONAL GHOSTWRITER – TECHNICAL CONTENT (Exploratory Data Analysis (EDA))** We are seeking a highly reliable and experienced ghostwriter to transform structured outlines into a clear, authoritative, and engaging 13-page manuscript in MS Word format. This material will be circulated privately; therefore, precision, professionalism, and confidentiality are mandatory. --- ### PROJECT OVERVIEW The manuscript will focus on: **Exploratory Data Analysis (EDA)** Coverage must include: *Understanding dataset structure and metadata * Univariate, bivariate, and multivariate analysis * Correlation, covariance, and relationships among variables * EDA workflows and case studies using real datasets The tone must be authoritative yet accessible, technically accurate, and free ...

I need a predictive analysis on a mixed data set. The goal is to predict next day's mood based on today's social media usage. Key Requirements: - Analyze survey data on mood and social media hours - Use predictive modeling techniques - Provide clear, actionable insights Ideal Skills and Experience: - Expertise in predictive analysis - Proficiency with mixed data sets - Strong background in data interpretation and reporting I'm looking for a freelancer who can deliver accurate predictions and insights.

We are looking for an AI Red Teaming Engineer / Vibe Coding Engineer to work directly on our internal safety evaluation platform for AI models, with a focus on model-to-model testing (no real users involved). Your role will be to design and run adversarial evaluations against AI systems, simulate realistic personas and conversations, and help us detect and categorize safety failures (guardrail breaks, emotional risks, harmful content, etc.) in AI products designed for children and families. You will also collaborate on improving the underlying platform and evaluation pipelines. Responsibilities: Design model-to-model red teaming tests targeting: Unhealthy emotional attachment behaviors Harmful or unsafe content Manipulative or coercive responses Other child-safety-related risks Cre...

I have a very rough first draft of an academic paper that explores how artificial intelligence is reshaping product management practices. Before I move further, I need a research-minded collaborator who can strengthen the backbone of the study through rigorous data work. Here’s what I’m looking for: • Literature review & background – Locate, read, and summarise the most recent (last 5-7 years) peer-reviewed work on AI adoption, road-mapping, and decision-making in product management. – Deliver an annotated bibliography and a well-structured review section formatted in APA. • Data collection & surveys – Design a brief online questionnaire for product managers (using Qualtrics or Google Forms). – Source a relevant sampl...

I need reliable, on-the-ground support to run a market research survey across Cape Verde’s general population. The questionnaire is ready in draft form; what I’m missing is local execution—refining any culturally specific wording, recruiting respondents in different islands and urban-rural areas, collecting completed surveys, and returning clean, anonymised data I can analyse. You may work face-to-face, by phone, or online—the key is ensuring a representative cross-section of everyday Cape Verdeans. A short pilot to confirm understanding and response rates is expected before full rollout. Deliverables • Finalised questionnaire (Cape Verde Portuguese / Crioulo and English versions) • Minimum 400 valid responses, balanced by gender and basic age brackets...

我們是一家專業的市場調研公司，目前正在尋找符合以下條件的朋友參與一項線上問卷調研，分享您的經驗與看法。 招募對象條件： 居住在台灣 過去6個月內曾途經台灣地區機場 是經常飛行的常旅客 有定期購買免稅酒類商品的習慣 調研形式： 遠程線上問卷 全程可在半小時內完成 若您符合上述條件並願意參與，請與我們聯繫。

I'm seeking an experienced healthcare researcher assistant to aid in public health studies, specifically in health policy and health economics. Key tasks include: - Conducting comprehensive literature reviews - Analyzing relevant data - Writing detailed reports on findings Ideal candidates should have: - Strong background in public health, health policy, or health economics - Proven research skills, especially in academic settings - Proficiency in data analysis tools - Excellent writing and communication skills

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I need a qualitative researcher who can walk my data through Braun and Clarke’s six-phase thematic pipeline and present the results as a series of rigorous case study reports. My material is already collected—interviews, focus-group transcripts, and organisational documents for several individual cases. Here is the workflow I have in mind: first, each data-collection method will be analysed separately within every case, identifying and defining codes, collating them into candidate themes, and refining those themes until they capture the essence of the material. Once the single-method findings are complete, I want a cross-method synthesis that shows how the themes converge, diverge, or extend one another across interviews, group discussion, and documents. The final dossier...

I have a set of NetCDF files that store climate-related rainfall information. I need each file parsed and exported into a clear, well-labeled Excel workbook where rainfall totals (or means, if that is what the variable represents) appear month by month across the full record. Dates must be easy to filter or pivot against, so please place one complete time series per sheet or, if you prefer, one sheet that stacks every grid-cell or station vertically with a month column beside it—whichever keeps the file light and readable. Python with xarray/netCDF4 and pandas is fine, but any tool chain that preserves data fidelity works for me as long as you document it briefly so I can reproduce the workflow later. Deliverables: • One Excel file per original NetCDF (unless you can combine l...

Saya ingin meningkatkan keterampilan teknis saya di bidang analisis data, khususnya untuk data operasional yang dihasilkan setiap hari di perusahaan. Dasar teknis saya sudah kuat—termasuk pemahaman proses dan kemampuan membaca karakteristik kulit sebagai nilai tambah—tetapi saya membutuhkan panduan terstruktur agar teknik analisis saya benar-benar naik kelas. Ruang lingkup yang saya harapkan meliputi: • Menyusun kurikulum singkat yang fokus pada analisis data operasional (pembersihan, eksplorasi, visualisasi, dan interpretasi insight). • Memberikan sesi pembelajaran langsung (online) yang interaktif, beserta studi kasus nyata. • Menyiapkan latihan praktis dan umpan balik mendalam untuk setiap tugas agar kemajuan dapat diukur secara jelas. • Merekomend...

Ich arbeite gerade an einem Forschungsprojekt und brauche Unterstützung beim Aufbau eines NetLogo-Modells, das belastbare Analysen ermöglicht. Der Schwerpunkt liegt ganz klar auf NetLogo-Modellentwicklung; PyCharm und Python dienen uns nur als begleitende Werkzeuge, z. B. für Daten-Postprocessing, Versuchsreihen‐Automatisierung oder die Auswertung der Simulationsergebnisse. Was mir wichtig ist • Du sprichst fließend Deutsch, damit wir ohne Reibungsverluste Fachbegriffe, Papers und Dokumentation besprechen können. • Du hast bereits eigene Agent-based-Modelle mit NetLogo umgesetzt und kennst dich mit Kalibrierung, Sensitivitätsanalysen und Datenexport aus. • Du arbeitest sauber versioniert (Git) und kannst deine Python-Hilfsskripte nachvol...

Project Description: I am looking for an academic holding a PhD in Business Administration (or a closely related field) to review a completed Master’s thesis and provide professional academic feedback to improve it before final submission. Scope of Work (What I need): Read the entire thesis and provide substantive feedback on: Research problem, objectives, and research questions/hypotheses Methodology, research design, and measurement tool Analysis and results (logic, consistency, strength of interpretation) Discussion, recommendations, and conclusion Referencing and bibliography (APA, if applicable) Deliver a well-structured feedback report (e.g., organized by chapter) with clear improvement suggestions. I do not need someone to write the thesis for me—only review, co...

I have two Excel workbooks, each with fewer than 200 columns. Every sample was run in triplicate, so each set of three replicate columns must be combined to give the mean and standard deviation for that sample—no additional transformations are required. Once the numbers are in place, I need scatter plots that compare the data. I will supply a brief document that spells out my exact axis titles, tick spacing, legend wording, and any call-out text so the labeling follows those specifications precisely. OriginPro is my first choice because the project will be folded into an existing OriginPro report, but I am open to Excel, Python (matplotlib, seaborn), R (ggplot2), or any other tool as long as the final graphs mirror the OriginPro look and the calculations match. Deliverables: &bu...

I'm looking for an expert to help me build effective AI prompts for numerical data analysis. The AI will assist with: - Data Visualization: Creating insightful graphs and charts. - Predictive Analytics: Forecasting trends and outcomes. - Statistical Analysis: Performing complex statistical calculations. Ideal skills and experience: - Proficiency in AI tools and prompt engineering. - Strong background in data analysis, especially with numerical data. - Experience in data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical methods and predictive modeling. Your assistance will help streamline these tasks and enhance accuracy.