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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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journals Ability to hold and maintain a DOE Q security clearance is required, which requires U.S. citizenship Preferred Qualifications: Experience with actinide materials Familiarity with the nuclear fuel
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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, material and energy balances, and process performance metrics Demonstrated ability to communicate well in a team environment Excellent written and oral communication skills Preferred Qualifications
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magnets, batteries, and semiconductors from mined resources and electronic waste, as well as separations for bioenergy applications. Develop new research directions and contribute to proposals for external
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
. Experience in developing new ideas and proposal writing. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability
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HPC research within past five years. Preferred Qualifications: The ability to work independently and develop and deploy methods at scale. Experience in high-performance computing and software
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Laboratory (ORNL) and you will join our team as part of the Department of Energy’s Nanoscale Science Research Center MEERCAT project. As part of our research team, you will investigate excitonic and electronic
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area with an education and a research track record in HPC/AI/edge systems and storage research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods