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nodes, GPU workstations, etc.), virtual servers (VMWare, etc.), research software (MATLAB, GIS, TensorFlow, etc.), scripting (Python, etc.), storage platforms, high-speed interconnects, or user
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(MATLAB, GIS, TensorFlow, etc.), scripting (Python, etc.), storage platforms (parallel file systems/AI I/O platforms), high-speed interconnects, or user environments. Six (6) years of Windows or Linux
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, GIS, TensorFlow, etc.), scripting (Python, etc.), storage platforms, high-speed interconnects, or user environments. Four (4) years of Windows or Linux systems administration experience. C, C
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languages often applied to environmental datasets; examples could include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Bachelor's degree or higher and two (2) years
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, power analyses, multivariate and/or ordination techniques. Demonstrable knowledge in a programming language or languages often applied to environmental datasets; examples could include R, Python, mySQL
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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