44 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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diverse set of scientists working at the ORNL’s neutron scattering and high-performance computing facilities. Desirable skills include expertise in biological structure determination and in biophysical
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.) Understanding of computational scaling techniques for machine learning and high-performance computing Preferred Qualifications: A strong publication record demonstrating either core machine learning capabilities
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computing platforms Perform large-scale multiphase Reynolds Averaged Navier Stokes (RANS) simulations of reactor cores, heat exchangers, pumps, pressurizers, and condensers Support coordinated multi-physics
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Requirements The Seaborg Postdoctoral Researcher Program requires performance metrics of activities and resource management reporting. Successful Seaborg Postdoctoral Researchers are required to report project
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of scientific results in peer-reviewed journals and conferences. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong commitment to the implementation and
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scattering, and spectroscopy. You will perform cutting-edge research on correlated and topological quantum materials. Major Duties/Responsibilities: Photon and neutron-based spectroscopy characterizations
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Requisition Id 14396 Overview: We are seeking a High-Temperature Materials Processing Postdoctoral Research Associate. This position resides in the Surface Engineering and Tribology Group in
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Successful candidates must be approved by the ORNL Postdoc Program before receiving funding and performing research. Final selections will be made by the Seaborg Institute Leadership Team based on rankings
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in presentations. Preferred Qualifications: Experience designing and implementing custom hardware acceleration solutions on FPGAs for the purpose of high-performance computing, real-time data analysis