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infrastructure and digital hardware systems. This position is part of the Controls Integration Group in the Control Systems Section in the Research Accelerator Division of the Neutron Sciences Directorate at Oak
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, you will work with groups of scientists across ORNL and the University of Tennessee (UT) to develop and apply physics-informed AI surrogate models for scientific simulations to accelerate research in
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for the design and analysis of computational methods that accelerate data analytics and machine learning, especially as the apply to scalable high-performance computing, cloud computing, and large interconnected
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