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interfacial reactions within energy storage materials. In addition, the applicant will be expected to help train new scientists (graduate students, post-BS, and post-docs) with suitable laboratory procedures
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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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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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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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 Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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Requisition Id 17066 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group within the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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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