24 phd-computational-intelligence positions at Oak Ridge National Laboratory in engineering
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Requisition Id 17148 Overview: The Fusion Energy Division at the Oak Ridge National Laboratory seeks applications for a skilled Computational Magnetohydrodynamics Engineer, with intended focus
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, and measure success. Basic Qualifications: A PhD in Nuclear Engineering or a closely related field. Knowledge of nuclear reactor analysis R&D is required as demonstrated through research and associated
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in nuclear engineering or closely related field and
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designs for external partners or for manufacturing and deployment at ORNL. The Director will collaborate closely with the ORNL NNSA Defense Fuels Program Manager, the ORNL Stable Isotope Program Manager
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Requisition Id 16957 Overview: We are seeking an Associate Nuclear Engineer to join the Incident Modeling and Computational Sciences (IMCS) Group in the National Security Sciences Directorate at Oak
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travel when required. Preferred Qualifications: An MS or PhD degree in Chemical Engineering, Aerospace Engineering, or a related discipline. Active DOE Q clearance. Active Professional Engineer (PE
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travel when required. Preferred Qualifications: An MS or PhD degree in Chemical Engineering, Aerospace Engineering, or a related discipline. Active DOE Q clearance. Active Professional Engineer (PE
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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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), and uphold industry best practices in HPC/data center operations. Basic Qualifications: Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science (GIS/remote sensing), Electrical
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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