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. Applicants must have intermediate experience working with at least one of the following programming languages: Python, Matlab, or R. Skills and Knowledge: Applicants should be willing to learn, be creative
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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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