53 assistant-professor-computer-"https:" "https:" "https:" "https:" uni jobs at National Renewable Energy Laboratory NREL
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include: Assist in porting quantum computing optimization codes to CUDA-Q for use with NVIDIA GPUs. Collaborate with NLR researchers on developing formulations and algorithms for solving optimization under
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assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing
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assist in the preparation of technical papers, reports and conference proceedings on topics related to quantum computing for materials science. . Basic Qualifications Minimum of a 3.0 cumulative grade
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about the Computational Science Center and the Advanced Computing Operations Group, check out https://www.NLR.gov/computational-science/ . . Basic Qualifications Must be enrolled as a full-time student in
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chemistry support to all research and development groups within the BEST directorate at NLR. To learn more about the research within this directorate, click here: https://www.nrel.gov/bioenergy . The team is
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: https://tinyurl.com
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Advanced Computing Solutions Group in
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system. This creates an accuracy–solvability tradeoff: to ensure fast computation, important nonlinear dynamics and uncertainty effects are simplified or ignored, resulting in economic inefficiencies