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or data analysis Training & experience in econometrics and causal inference methods, particularly in the context of randomized controlled trials (RCTs) Proficiency in R, Python, Stata, or similar tools
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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of Miami. Other potential undergraduate classes include Introduction to Python Programming - a requirement for the Rosenstiel BS - and Climate Change, a general education course. We are also considering
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source, creating the potential for broad scientific and real-world impact. This full-time position, based in Ann Arbor, MI, will lead software design, development, and testing primarily in Python, with
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modern machine learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively
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, and/or substantial open-source research contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and
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contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and experience building and maintaining research code
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. Experience using Python in a professional setting. Experience using data visualization tools (i.e. Tableau, Power BI or similar) Highly proficient in MS Office software with advanced knowledge of Excel. Strong
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command line Experience programming in Python, Matlab, or R Experience with ML frameworks such as PyTorch or with LLM APIs Understanding of ML fundamentals including regression, classification, neural
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analytic workflows on an active NIH-funded research grant. Applicants should have a bachelor’s degree in an analytic field (data science, AI, or bioinformatics) and demonstrate familiarity with R and Python