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machine learning and high performance computing to help develop high-fidelity computational tools that are used for large-scale, physics-based simulations of fusion energy systems in partnership with
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highly qualified individual to play a key role in improving the security, performance, and reliability of the NCCS computing environments. This includes supporting one of the fastest supercomputers in
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operations of the UT-Battelle Operations Committee. Represent ORNL in high-level discussions with DOE-SC and peer laboratories on institutional performance matters. Facilitate executive forums and strategic
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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Requisition Id 15301 Overview: We are seeking a Group Leader who will focus on leading and performing research in the area of high-performance computing methods and application to challenging
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highly qualified individual to play a key role in improving the security, performance, and reliability of the NCCS computing environments. This includes supporting one of the fastest supercomputers in
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Requisition Id 15192 Overview: We are seeking a dynamic and innovative Scientific Lead for developing Quantum-Accelerated High-Performance Computing (QHPC) capabilities. This role includes leading
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance
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highly qualified individual to play a key role in improving the security, performance, and reliability of the NCCS computing environments. This includes supporting one of the fastest supercomputers in