277 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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Requisition Id 15408 Overview: Oak Ridge National Laboratory (ORNL) (https://www.ornl.gov/) is the largest US Department of Energy science and energy laboratory, conducting basic and applied
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science, high-performance computing, advanced materials, biology and environmental science, clean energy, fission and fusion science and engineering, isotopes, and national security research to benefit
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Qualifications: Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years. Demonstrated expertise in computed tomography (CT), with experience in sparse-view and
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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team with vendors and both internal and external collaborators and partners. Basic Qualifications: BS degree in computer science or closely related field and a minimum of 8 years as a Platforms engineer
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transformative solutions to compelling problems in energy and security. The Enrichment Systems Engineering Section is seeking a Senior Machine Design Engineer who will support the Enrichment Science and
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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
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program managers. Represent the Accelerator Science and Technology section to RAD, NScD, ORNL, and the broader external community. Support the mission of the Accelerator Institute to expand the application
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security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models