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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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for geothermal casing related harsh environments applications. A background in polymer chemistry research or related fields, composite material development, material science, and data analysis is preferred. Strong
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to contribute to the development unique science directions, in collaboration with the Team and sponsoring organizations. Furthermore, the position requires collaborating and interacting with staff at ORNL’s
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the Energy Systems Integration section, Electrification and Energy Infrastructure Division, Energy Science and Technology Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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their area, interact with ORNL staff, industry, and academic partners. This position resides in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy
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an ongoing random drug testing program. Visa sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing