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programming languages such as SAS or R preferred. Familiarity with data visualization and dashboarding tools is a plus. Demonstrated ability to contribute to academic research through peer-reviewed publications
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity
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leadership. Position will be responsible for teaching four (4) courses per semester, including large lecture sections of introductory statistics. Sufficient knowledge of statistical software, such as Python, R
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as well as the historic Bama Theatre, the Paul R. Jones Museum, the Tuscaloosa Amphitheater, the Tuscaloosa Farmer’s Market, and nearby Kentuck Festival of the Arts and Moundville Archeological Park