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Lab to assist with building solutions and methods for data reduction, aggregation, and analysis and A.I. and machine learning/deep learning algorithms for building programs and automated solutions
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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such as programmatic retrieval of scholarly information, data manipulation, data visualization, high performance computing, and AI/machine learning. Additional Department Summary:Expected start date is 05
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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
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. Perform basic computer data entry to maintain and update research databases. Run errands across campus, including delivering documents and materials to faculty and staff. Assist with printing, copying, and
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the areas of image processing, geospatial and statistical analysis, data fusion, and machine learning. A strong background in field studies and experience collaborating with federal agencies (e.g., NOAA, USGS
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sustain a high quality externally funded research program. Preferred Qualifications: Knowledge of High performance computing, machine learning. Experience in writing research proposals. Experience in