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Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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. The successful candidate will have the opportunity to assist ORNL scientists involved in these efforts, to gain expertise in biokinetic and dosimetric modeling, and to assist and eventually lead in the preparation
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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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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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. 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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-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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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