83 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at National Renewable Energy Laboratory NREL
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stands out 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
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commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable
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Computer Science or related fields Experience in power system modeling, optimization, and control Experience in at least one of the power system software tools including OpenDSS, PSCAD, PSS/E Experience in at least
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, computer engineering, computer science, electrical engineering, or related fields Demonstrated experience in coding languages such as, Python, GO, and Rust Demonstrated knowledge or experience in
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date. Additional Required Qualifications Currently enrolled in or recently from a bachelor's or master's degree in Computer Science, Software Engineering, Electrical Engineering, AI/ML, or a related
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to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and
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to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and
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and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective
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to employment start date. Additional Required Qualifications Relevant Ph.D. or Ph.D. candidate in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and
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commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable