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tools and algorithms written in one/all R, PERL and Python. Contribute to project management, presentations and publications of research work. Provide technical support and establish work procedures to
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analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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: Develop applications using C#/.NET Core, Node.js, Python, with React/Angular frontends. Integrate LLM APIs and build AI-powered features. AI Feature Integration: Implement LLM APIs (OpenAI, Anthropic
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, dimensionality reduction, clustering, trajectory modeling) Lead reproducible analysis pipelines in R, Python, or related frameworks Interpret results in biological and clinical context, with emphasis
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Integration of simulation and measurement data into interactive or VR environments Data processing, signal analysis, and visualization (e.g. in Python / MATLAB) You are not expected to be an expert in all three
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models, and data processes. This role requires advanced data science and machine learning expertise, proficiency with Python ML libraries, strong SQL programming skills, experience with data pipeline
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, model implementation, and infrastructure monitoring. This position will execute data extraction, cleaning, and transformation tasks using SQL, Python, or R, prepare datasets for data science and machine
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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an advantage; (c) good teamwork and interpersonal skills; (d) proficiency in the Python programming language, including familiarity with the main libraries for textual data processing and web scraping; and