10 computational-materials-physics "https:" positions at Oak Ridge National Laboratory
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through innovative materials and process development. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Science. As
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
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for nuclear materials handling, with special emphasis on manufacturing science and automation technology. This position resides in the Radioisotope Infrastructure Development Group in the Radioisotope
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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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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking an SAP Functional Analyst to serve as a
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enrichment devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first-principles physics and empirically informed methods to advance
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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering
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: The selected candidate will work with technicians, process engineers, quality control engineers, quality assurance staff, supply chain staff, safety & security staff, and project managers to implement plans
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computational studies related to the development of neptunium targets within the Plutonium-238 Supply Program. Develop, validate, and deploy material property testing methodologies for the analysis of existing