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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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develops high-end operational and application software; and educates and trains the next generation of computational scientists. A postdoctoral associate position is available immediately for candidates
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distributed computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their
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modeling, plasma physics, and edge/scrape-off layer transport. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application
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) applications. The position is part of the Multiphysics CFD Applications group, focusing on the development and application of models and simulations for energy production and nuclear systems. Major Duties
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date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments
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in the National Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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groups within MSTD on the physical metallurgy of non-ferrous alloys for various applications including aerospace, automotive, and thermal management applications. Projects will include application of
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production and application of radioisotopes and nuclear materials. The successful candidate will be integrated into multiple efforts within the group focused on integrating computational and experimental