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must also list available work hours. When submitting your application, please list your programming experience, including your depth of knowledge (basic, intermediate, advanced) and give examples
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must meet enrollment requirements to be eligible for on-campus student employment. Applicants must be enrolled in a UA degree program and meet minimum credit hour requirements during the academic year
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to articulate research objectives and hypotheses, and ability to work as part of a team. Excellent analytical ability and in-depth knowledge with at least one programming language. Preferred Qualifications
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references in the reference section of the application. Please upload additional documents to the “other documents” tab as needed. Skills and Knowledge: Strong programming/scripting capabilities. Skills in
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a list of publications), and a brief research statement up to 3 pages including figures (but not references) that summarizes the candidate’s experience, research interests, and an outlined plan
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as needed. Skills and Knowledge: Strong programming/scripting capabilities. Skills in data science, artificial intelligence, and health informatics. Strong written and verbal communication skills
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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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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