191 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" uni jobs at Oak Ridge National Laboratory
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records, information systems, and process improvement. This role focuses on modern records practices, including electronic records management systems, digitization initiatives, system integrations, and
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workflows, and data infrastructure to accelerate discovery in Populus genomics and the characterization of Populus-associated microbial communities. The successful candidate will design and implement scalable
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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the production of intelligence information. Major Duties/Responsibilities: Conducts administrative investigations on incidents involving suspected or identified foreign intelligence activities: Conducts
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Requisition Id 16092 Overview: The Information Management Systems (IMS) Group, within the Nuclear Nonproliferation Division (NND) at Oak Ridge National Laboratory, is seeking qualified applicants
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of risks or blockers and ensure they are documented in the project's risk log for Project Lead’s review and action. Information Management : Maintain organized and accurate project documentation, serving as
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI