11 data-science-"https:"-"https:"-"https:" positions at National Renewable Energy Laboratory NREL
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lead the MCCS Computational Science Center (CSC), https://www.nlr.gov/computational-science ) at the National Laboratory of the Rockies (NLR). The CSC stewards the largest HPC environment in the
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sensor networks • Assist with environmental data collection, analysis, and presentation • Help develop community science and educational materials Work Arrangement The internship will be fully remote
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. In conjunction with the DOE’s METALLIC platform ( https://netl.doe.gov/metallic ), we are developing a closed-loop autonomous experimentation platform that integrates scientific instrumentation, data
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III level or scope of performance. The NLR Geospatial Data Science group ( https://www.nlr.gov/gis ) is the pre-eminent geospatial team working on energy systems integration. Our cutting-edge
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compositional analysis data form the foundation of the world class science that NLR produces. The position will require adherence to NLR's high technical, environmental, and health and safety standards. To
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will have completed an undergraduate degree and either be enrolled in or recently graduated from a masters degree in computer science, data science, electrical engineering, or related fields, or be
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will have completed an undergraduate degree and either be enrolled in or recently graduated from a masters degree in computer science, data science, electrical engineering, or related fields, or be
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MCCS Computational Science Center ( https://www.nlr.gov/computational-science ) for a compute first approach for AI-driven and autonomous work flows in EMAPS. This position requires strong technical
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(https://www.nlr.gov/research/mcst) comprises 400 staff that executes over $165 million in annual research and development organized around three R&D centers – Computational Science, Materials
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in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex