304 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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harsh environment applications. Develop data acquisition and control systems that include hydraulic or pneumatic actuation and pressure monitoring combined with interrogation of optical fiber-based
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workflows. The successful candidate will develop novel AI methods that integrate scientific knowledge, simulation, experimental data, and large-scale computing to achieve measurable AI advantage in scientific
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of War (DoW) SAP experience preferred. Major Duties/Responsibilities: The CSSO is responsible for: planning and supervising classified information systems, controlled areas, and alarms or emergency
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(FIOD) with minimal supervision. This position will report directly to the Group Leader in the FIOD’s Information Assurance Group and will service multiple intelligence community COMSEC accounts
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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methodologies as well as subsized mechanical testing methodologies on highly irradiated materials (either using ions or research reactor irradiation data) for establishing performance envelopes for materials
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illumination effects. Coordinate optical measurements with the imaging teams; provide calibrated data, metadata, and analysis to ORNL and university collaborators. Develop instrument-control and data-analysis
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opportunities for improvement. Analyze quality and performance data, identify trends and risks, and communicate results and recommendations to management. Support performance assessment planning, implementation
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computational workflows, scripts, and software tools to improve simulation efficiency, data processing, and reproducibility Design, assemble, and execute laboratory experiments to validate simulation results
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Requisition Id 16738 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking