42 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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, you will be responsible for delivering high impact research results to advance the work on Gallium and Germanium separations. You will be very closely working with specialists in synthesis, separations
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multi-physics simulations on high performance computing (HPC) and ML Experience working in a multi-disciplinary research environment Special Requirements: Applicants cannot have received their Ph.D
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characterization of polymers to maximize material performance but also close collaboration with multidisciplinary teams to scale up manufacturing processes for high-performance fibers. A key aspect involves
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to bring strong expertise in scalable deep learning, high-performance computing (HPC), scalable data management, Linux environments, and production-quality scripting for HPC workflows. Major Duties
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative
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computational resources and will be expected to publish research, present results, and contribute to high-impact programs. With over 100 manufacturing systems at the MDF, this role offers the opportunity to work
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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team that includes condensed matter theorists, experts in neutron/X-ray scattering, and experts in thin film and single crystal materials growth and characterization. You will perform cutting-edge