279 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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Design Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position lives in the Alloy Behavior and Design Group
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. Stay informed of emerging adversarial AI threats, testing methodologies, and scaling innovations to foster continuous improvement in security testing architectures. Mentor junior engineers and provide
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Projects, specifications, technology assessments for foreign visits and assignments, foreign travel, and other areas. Review the interpretation of applicable export control laws and regulations and the
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are seeking a senior level counterintelligence investigator generalist with experience in the conduct of Cl investigations, operations, cyber or other technical measures, technology protection, analysis, and
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modeling, AI/ML, data infrastructure, and laboratory automation with biological research programs across BSD. Champion interdisciplinary collaborations with computing, engineering, and data science divisions
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industry for cutting edge research and live-saving technologies. This position is part of the Enrichment Science and Engineering Division and serves the nation by advancing enrichment technologies and
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(ORNL). The D&C group carries out experiment-based research and development work in support of ongoing science and technology research for the U.S. DOE Fusion Energy Sciences Program. Major Duties
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properties of the above materials. Collaborate with ORNL postdocs and staff who are involved in structural characterization. Participate in the development of new ideas and projects. Present and report
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data