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Junior Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor
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of large medical datasets using R and Python, attending and documenting collaborative meetings, developing and implementing forecasting model for medical conditions. The role will be required to maintain a
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raw data for input into workflows using R, Matlab, Phython. Assist in data collection. Computational analysis using MATLAB, Python, or other computer languages. Written reports and manuscript
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: Programming skills in Python or other languages commonly used for statistical programming, including R. Demonstrated interest or experience in machine learning frameworks and libraries, such as PyTorch
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R and other programming languages to extract insights from large datasets. You will need to have experience in data analysis and the ability to effectively communicate findings to non-technical
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, R, sqlite3). Preferred Competencies Analytical skills. Problem-solving skills. Attention to detail. Organizational skills. Verbal and written communication skills. Work independently and as part of a
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, statistics, and metrics background. Experience: Programming experience with Stata, as well as statistical packages such as R. Programming experience in Python and familiarity with programming languages such as
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: Proficiency with R, Python, or Stata. Work with large and complex datasets. Apply machine learning algorithms in operational environments. Proficient with GitHub. Worki on field experiments / randomized
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). Experience in coding and statistical programs (R, Python, Java, SPSS, STATA, etc.). Interviewing and conducting experimental sessions in behavioral research. Preferred Competencies Excellent professional and
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Department Library R & L - SCRC - Rare Books About the Department Widely known as guardian of one of the largest academic library collections in North America, the University of Chicago Library is