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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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implementing signal processing techniques. Experience working with benchtop instrumentation, including power supplies, oscilloscopes, optical spectrum analyzers, etc. Experience working at or collaboration with
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record of productive and creative research as demonstrated by publications in peer-reviewed journals, patents or commercial products. Excellent written and oral communication skills and the ability
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, Environmental Engineering, Sustainability, Business, or a related discipline obtained within the last five years. Demonstrated ability to work safely and effectively in a multidisciplinary R&D environment
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publications and conference presentations. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a
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. Writing and communication skills and the ability to publish. Preferred Qualifications: Experience with Multiphysics software and simulations an asset. Previous experience with the development and
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. Familiarity with nuclear nonproliferation goals, concepts, and approaches (e.g., international safeguards, domestic material control and accounting). Motivated self-starter with the ability to work
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/analysis. Experience working in Agile/SCRUM teams. Excellent written and oral communication skills. Motivated and conscientious self-starter with the ability to work independently, follow-up on all action
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techniques, with the ability to independently interpret data and assess compound identity and purity. Proven ability to work independently and drive research forward, including identifying problems, developing
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the ability to work independently on complex research problems Preferred Qualifications: Strong background in thermal-fluid sciences, heat transfer, or thermal system dynamics Prior research experience in