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experts and practitioners, and software engineers carrying out applied research and development in developing scalable machine learning-based platforms that enable domain experts to more effectively draw
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, multiscale methods, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies
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-year UT-ORNL partnership, UT and ORNL have developed joint institutes, joint facilities, interdisciplinary PhD programs, and comprehensive joint faculty arrangements, including 17 Governor’s Chairs
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of research experience beyond a PhD in quantum science, physics, materials science, or a closely related science discipline A strong publication track record in peer-reviewed journals including presentations
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-edge statistical and mathematical methods to solve complex spatio-temporal problems at scale, supporting operational decision-making under uncertainty. Our mission spans diverse applications in national
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analyzable data when possible. Pursue developments in instrumentation, sample environment, and software to help maintain and further advance the performance of the instrument suite. Attract new users, both
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Duties and Responsibilities: The successful candidate will work on the design, development and improvement of fusion technology related components using 3D Computer Aided Design (CAD) software. Significant
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that enable large-scale simulations and/or AI/ML experience for intelligence in simulations or for data-driven modeling. Integrate (or co-simulate) grid component/device models into open-source software tools
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requirements development, PLC programming and formal testing methodologies. Demonstrates proficiency in written and verbal communication, including experience presenting technical information clearly
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service component and will be expected to build research and development initiatives to create novel methods, innovative measurement devices, and advanced methodologies for gamma spectroscopy, alpha