260 parallel-computing-numerical-methods-"Prof" positions at Oak Ridge National Laboratory
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the world, Frontier, along with numerous commodity clusters and specialized programs and partnerships. Frontier is one of the scientific research community's most powerful computational instruments
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at ORNL! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-STAFFFELLOW [#27209] Position Title: Position Location: Oak Ridge, Tennessee 37831, United States of America [map
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! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). The Emerging
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the world, Frontier, along with numerous commodity clusters and specialized programs and partnerships. Frontier is one of the scientific research community's most powerful computational instruments
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Cycle Division is looking for a researcher to support design and execution of methods for advanced characterization of irradiated nuclear fuel materials. A successful candidate will leverage
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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classified operations in the areas of Classified Intelligence Information Technology (IT)/Information Assurance (IA), Classified R&D Computing, and physical and personnel security in the Field Intelligence
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security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models