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that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
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algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
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-functional teams to advance research in algorithms, computing methods, and engineered systems, while continually expanding technical expertise Deliver ORNL’s mission by aligning behaviors, priorities, and
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Scientific Computing Research. We are seeking applications from researchers in the broad domain of computational and applied mathematics, including algorithm analysis, artificial intelligence, combinatorial
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verify, validate, and benchmark developed algorithms on available hardware. Deliver toolkits and new capabilities that execute on ORNL’s leading computational infrastructures. Collaborate in authoring peer
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) devices, multi-core computer processors and in-network computing. You will have ample opportunity in these areas for on-the-job training, and you will take part in ensuring the proper operation of
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geometries and advancing to multimodal damage assessment capabilities. The group conducts cutting edge research and publishes on novel ML breakthrough algorithms for large scale geospatial application
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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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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of the Algorithms and Performance Analysis (APA) group, work with NCCS users across a wide variety of computational domains to enable their efficient use of the world class facilities provided by the NCCS. We seek