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experimental facilities. You will be responsible for developing energy-efficient, physics-aware algorithms designed for distributed learning across both high-performance and edge computing environments. You will
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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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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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