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program in Computer Science, Chemical Engineering, or a related field Demonstrated programming skills in Python and libraries such as: SciPy, Matplotlib, NumPy Strong motivation to contribute to high-impact
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master’s program in cybersecurity, computer engineering, computer science, electrical engineering, IT, Management of Information Systems, or related fields; or currently enrolled in a Ph.D. program in one
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will be enrolled in or recently graduated from a master’s program, or actively enrolled in a Ph.D. program in cybersecurity, computer engineering, computer science, electrical engineering, or related
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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, and cost-effective
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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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thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and lignocellulosic chemistry and catalysis. Our group is conducting
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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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the National Lab of the Rockies’ (NLR) Computational Science Center has an exciting opportunity for a graduate student to actively engage in a project developing an ecosystem of analysis and simulation tools
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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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-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