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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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mission of SNS by developing reliable and maintainable hardware solutions for accelerator and target control systems in a multidisciplinary team environment. Maintain and enhance distributed control systems
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