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with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology
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collaborating on dissemination through open-source R packages and associated tutorials. This position provides an opportunity to produce high-impact methodological research while engaging in applied health policy
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collaborating on dissemination through open-source R packages and associated tutorials. This position provides an opportunity to produce high-impact methodological research while engaging in applied health policy
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simulation studies, applying the methods to electronic health records (EHR) and clinical trial datasets, and collaborating on dissemination through open-source R packages and associated tutorials
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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and scholarship into practical contributions for academia and public life. The Research & Design Studio: The Research & Design Studio (R&DS) is an interdisciplinary network that bridges scholarship and
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surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged. Excellent written and verbal communication skills