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written and oral communication skills Preferred Qualifications • Prior experience teaching first-year engineering or computing students • Familiarity with MATLAB, Python, or similar technical computing
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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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be a U.S. Citizen or U.S. Permanent Resident. Advanced training and certification. Skills and Knowledge: Experience managing cloud platforms. Experience with PowerShell or Python scripting. Advanced
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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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Knowledge:Technical: Programming primarily in python, shell scripting in Linux, also preferred skills in C, C++, javascript, shell scripting in windows. Platform/IDE familiarity in windows, linux, jupyter, anaconda
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C