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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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design and programming (i.e. R or Python). Knowledge of multivariate analysis techniques such as multiple analysis of variance, multiple regression, logistic regression, and factor analysis. Research Study
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
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contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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). Contribute to sport business and operations analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud
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working in a collaborative environment as well as independently Programming, scripting, and/or web development experience using JavaScript, Java, C#, ASP.Net, PowerShell, Python or a combination
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methodological skills using, for example R or Python. - Strong collaborative skills and ability to take initiative. For further information about specific doctoral education, see, Study plans for doctoral studies