321 information-security-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at Oak Ridge National Laboratory
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Requisition Id 16016 Overview: Water and energy systems are deeply intertwined, and advancing science at their intersection is critical to the nation's future. We are seeking two Post-doctoral
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infrastructure security. Major Duties/Responsibilities: Review literature on SDR architectures, RF front-ends, waveforms, and signal processing implementations Perform RF data acquisition, calibration, pre
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Requisition Id 15880 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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communicate system conditions to stakeholders. Work with system stakeholders to diagnose system statuses and initiate corrective actions. Trend, analyze, and interpret facility system performance data and
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knowledge of DOE nuclear safety and criticality safety requirements, standards and guides is preferred. Experience working directly with contractor assurance program elements, e.g. assessments, issues
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environment. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over
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to maintain compliance of the space and equipment. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote
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transformative solutions to compelling problems in energy and security. The Enrichment Science and Engineering Division (ESED) is seeking multiple Integrated Product Team (IPT) Leaders who will support the
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the Transportation Waste Management Division (TWMD) of the Environment, Safety, Health and Quality Directorate (ESH&Q) at Oak Ridge National Laboratory (ORNL). As part of our team, you will perform various duties
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solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high