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the research projects of Thomas Miles, Clifton R. Musser Professor of Law and Economics. This part-time, temporary position is intended to last for up to one year, although this can be extended by
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lead a team of data analysts in conducting complex data analyses to support the enhancement of child welfare systems. Utilizing your expertise in data manipulation and visualization with R, Python, and
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. Experience: Significant research experience in a university setting is strongly preferred. Programming with Stata and/or R, as well as software such as Matlab or SAS. Programming in Python. Familiarity with
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: Undergraduate degree in a health-related field. Technical Skills or Knowledge: Knowledge of Microsoft Office. Experience with data management and statistical programs (i.e. R). Preferred Competencies Knowledge in
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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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. Technical Skills or Knowledge: At least two years of experience developing applications in Python, R, Matlab, C# and .NET, preferably within enterprise or academic contexts. Hands-on experience training, fine
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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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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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, 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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Gottlieb and colleagues. The Research Professional will be involved in all stages of ongoing and new research projects. Responsibilities Write programs in Stata, R or Python to analyze large datasets