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Physical Sciences, such as Geochemistry, Chemistry, Geology, Materials Science, or related disciplines completed within the last 5 years. Strong background in atomic-scale simulation. Preferred
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. Research will involve growth of single crystals and measurements to understand their structural and physical properties including magnetism and thermal transport, as well as helping to identify new magnetic
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for simulating atomic nuclei, as well as preparing data and using machine learning models for investigating how the properties of atomic nuclei connect to fundamental questions in physics, such as constraining
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. This position resides in the Quantum Heterostructures Group in the Foundational & Quantum Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National
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-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient
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methods. The successful candidate will play a leading role in investigating how the properties of atomic nuclei connect to fundamental questions in physics, such as the origin of symmetries and symmetry
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to meet evolving nanofabrication challenges including atomic layer deposition, electron beam lithography, and direct-write plasma focused ion beam instrumentation. In addition, new physical and chemical
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for CT. Major Duties/Responsibilities: Lead research on sparse-view and limited-angle CT algorithms for scientific and industrial applications. Develop and apply ML/AI-driven computational imaging methods
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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for the security of our nation today and target our vision on how these challenges may manifest themselves in a decade or more. NSSD’s research and development focuses on cybersecurity and cyber physical resiliency