52 parallel-computing-numerical-methods positions at Oak Ridge National Laboratory in computer-science
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. Department of Energy's Better Buildings, Better Plants Program. This position will operate and continuously improve the Better Plants Diagnostic Equipment Program, which provides industry partners with access
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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Requisition Id 16528 Overview: The Engineering Management Division (EMD) at the Oak Ridge National Laboratory (ORNL) seeks to hire a Design and Program engineer to support implementation of design
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Requisition Id 16686 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Project Management Associate to support the Defense Manufacturing Program Office (DMPO) within the National Security
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Science group addresses this mission through the development of quantum computational methods and software for diverse scientific applications. Major Duties/Responsibilities: Conduct research in
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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data
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Requisition Id 16411 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier
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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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represents expertise in nuclear materials synthesis and analysis, deployment of advanced analytical methods including crystallography, imaging, spectroscopy, physical property analysis, neutron scattering, and
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding