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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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Document Visa sponsorship is not available for this position. This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace
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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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for this candidate are between two larger efforts in the laboratory. The first effort is in identification of cost-effective technologies (both emerging and at industrial scale) for critical minerals recycling from
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alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse
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Requisition Id 17011 Overview: The Nuclear Energy and Fuel Cycle Division (NEFCD) of Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to assist in the development
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research, as indicated by conference presentations and/or publications in peer-reviewed journals. Ability to work independently and collaboratively as part of a large multidisciplinary team. Proven ability
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solutions, and making sound decisions without requiring extensive day-to-day supervision. Radiochemistry and/or nuclear chemistry experience is preferred but not required; willingness and ability to learn
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of resins or polymers. Experience with sorbent extraction, adsorption, or packed-column systems for separation and use of appropriate analytical techniques such as ICP-OES or ICP-MS Ability to function well