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upgrade existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms
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contributors to engineer solutions for developers, and users of nuclear energy modeling and simulation software. Major Duties/Responsibilities: Develop and implement numerical algorithms in advanced modeling and
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researchers Grant writing experience Experience with high performance computing (HPC) and deep learning frameworks like PyTorch Experience developing parallel algorithms and scalable workflows for HPC resources
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electromagnetic transient models for bulk power systems, synchronous generators, large loads, etc. Develop simulation algorithms that enable large-scale simulations and/or AI/ML experience for intelligence in
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workflows in high-performance computing environments. Implement and develop prototype software to demonstrate feasibility of algorithms and then work with engineers to accelerate software in HPC environments
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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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intelligence, and architecture-aware algorithms that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address
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development of novel AI algorithms, it does require strong implementation skills, sound statistical judgment, and an ability to translate methods into reliable, maintainable, and well-documented pipelines
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algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. The MsM group also develops artificial intelligence