330 affective-computing-"https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory
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, communicate, and measure critical metrics for success and impact. Actively contributing to shaping the Division’s, Directorate’s, and Laboratory’s research plans and investments. Building strong teams by
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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Requisition Id 15769 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE4 [#27230] Position Title: Position Location: Oak Ridge, Tennessee 37831
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Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: BS degree in
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resulting from this research and present results at appropriate national and international meetings. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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understanding of enrichment devices using analytical methods and computational tools such as finite element analysis (FEA). The Senior Electric Motor Researcher will provide research and development (R&D
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be a 24/7 facility. Shift work, flexible hours, and overtime are required. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork
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liquids, frustrated magnetism, excitonic magnets, and strongly correlated electron systems. You will work closely with theorists, experimentalists, and computer scientists to build robust, scalable