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-performance computing systems. The researcher will develop mathematically sound approaches for transmission and capacity expansion as applied to the bulk electricity systems to enhance economics, reliability
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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 challenges to deliver advanced
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Posting Title Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per
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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 analysis, we focus
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, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC
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, and a competitive benefits package designed to support your career and well-being. Job Description The Data, Analysis, and Visualization Group within NLR’s Computational Science Center has an opening
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prior to employment start date. * Must meet educational requirements prior to employment start date. Additional Required Qualifications A current PhD candidate in EE, Computer Science, Computer
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in the appropriate discipline. -For PhD graduates: Must have received your PhD in Applied Engineering, Fundamental Science, Engineering or Science Technology with substantial work in analysis within
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to employment start date. Additional Required Qualifications Currently enrolled in PhD program in Environmental Studies, Environmental Policy, Environmental Science, or related field Demonstrated experience with
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computer science, or computer engineering, or applied mathematics, or electrical engineering. Or a candidate who is currently pursuing or completed a master’s in computer science, or applied mathematics, or computer