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, engineering, or chemistry prior to the start date. Please email Prof. Lee R. Liu at leeliu@purdue.edu with your CV, contact information for 2-3 references, and a brief research statement outlining your
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analysis. Experience with Python and/or R; familiarity with deep learning frameworks is a plus. Demonstrated record of research productivity (publications, conference presentations). Excellent communication
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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Pharmacoepidemiology, Health Services Research, Public Health, Biostatistics, or a related discipline Demonstrated commitment to addressing health disparities Strong quantitative skills (e.g., SAS, R, STATA) Excellent
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working