180 data-"https:"-"https:"-"https:"-"FEUP" positions at Oak Ridge National Laboratory
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sponsor missions. You will be expected to handle sponsor requirements, and develop rapid prototypes to demonstrate new innovations. This position resides in the GeoAI Research Group in the Geographic Data
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Requisition Id 15447 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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project schedule, Coordinate technical issue resolution with design team, Design and Project Management, and others as appropriate, Conduct Design Reviews to Ensure documents (drawings, specifications, data
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physics, ion beam transport, plasma chemistry, ion-surface interactions, and related technologies to develop and deploy plasma-based enrichment technologies, including EMIS. Use experimental data and
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data and simulations to understand the physics driving enrichment technology and identify optimization paths. Independently complete research to advance high mass ion source technology for flexibility
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scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and
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exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector hardware located at W7-X such as
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nexus, data centers, and water & wastewater sector. You will work independently and with senior technical staff toward collecting data for all steps in development of manufacturing process flow sheets
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in current and on-going special programs and projects plans. In addition, this individual will support DOE HQ to respond to requests for information expeditiously in support of U.S. government sponsors
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and translate methods