401 parallel-and-distributed-computing "Computer Vision Center" positions at Oak Ridge National Laboratory
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reliable, automated execution of scientific applications across heterogeneous, geographically distributed computing environments, integrating compute, storage, networking, and visualization resources
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Requisition Id 16764 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of
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parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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Requisition Id 17250 Overview: The Isotope Science and Engineering Directorate (ISED) of Oak Ridge National Laboratory (ORNL) seeks applications for a Radioisotope Program Shipment Coordinator. ORNL
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Requisition Id 17148 Overview: The Fusion Energy Division at the Oak Ridge National Laboratory seeks applications for a skilled Computational Magnetohydrodynamics Engineer, with intended focus
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experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security
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presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address complex challenges in
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are looking for candidates with extensive experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments
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executing in a high-performance computing environment Use of AI/ML techniques to develop surrogate models and support scientific discovery Experience in multiphysics modeling Experience in parallel
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing for lattice