203 high-performance-computing positions at Oak Ridge National Laboratory in United States
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for structured and unstructured data Familiarity with high-performance computing, cloud environments, or distributed data systems Familiarity with uncertainty quantification methods in AI/ML Ability to present
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& Computing Center to support ORNL’s geospatial high-performance computing (HPC) research portfolio within the Geospatial Science and Human Security Division. ORNL is the nation’s geospatial research laboratory
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Special Access Program (SAP) systems. Qualified applicants have Information Systems Security Officer (ISSO) experience to support FIOD Operations for classified operations across a wide-breadth of
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issues that strive to ensure global nuclear security. One of the major focus areas of the AET group is the development of advanced approaches to operation, characterization, and analysis of nuclear fuel
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high level of scientific productivity Publish scientific papers in key journals and present at key meetings Ensure compliance with environment, safety, health, and quality program requirements Maintain a
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learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures. Major Duties/Responsibilities: Initiate, lead and perform
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research results through high-quality technical reports, peer-reviewed publications, conference presentations, sponsor briefings, invention disclosures, and internal program reviews. Support safe, effective
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are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major
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at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Perform experimental works including operation and maintenance of metal powder attritors in the group lab-spaces for mechanical
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processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply analytical and modeling approaches to interpret experimental results. Collaborate with internal and external research