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other feedstocks undergoing catalytic and thermochemical conversion processes using process scale models. Responsibilities include: Performing simulations using high-fidelity Computational Fluid Dynamics
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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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progressively responsible experience in training program development, instructional delivery, curriculum design, or qualification systems within high-hazard, highly regulated, or complex operational environments
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partnership, high levels of customer satisfaction, and effective coordination with DOE and national lab partners. Lead BTO-funded program planning and strategy development, including annual operating plans
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models for power system optimization problems. Your primary mission will be to leverage your expertise in AI foundation models and power system optimization to revolutionize power system operation and
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application to energy systems applications Hands-on experience with JuMP.jl or similar algebraic modeling languages (e.g., Pyomo, GAMS, AMPL). Familiarity with high-performance computing (HPC) environments
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Posting Title Graduate (Summer) Intern – EMT modeling, Real-Time simulation, and Control Development of Solid-State Transformers and medium-voltage and high-voltage power electronics for Modern
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, quality of life, and energy use. Analyze large-scale real-world travel activity, vehicle driving, and geospatial datasets using scalable, high-performance computing approaches. Contribute to the development
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, including reinforcement learning and graph neural networks Experience in using high performance computers, Linux systems Experience in JavaScript, SQL, MongoDB, and developing interactive web-based dashboard
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, high-assurance cybersecurity solutions for operational technology. Job Duties and Tasks Use the Isabelle/HOL interactive theorem proving environment to formally specify and verify properties