313 information-security-"https:"-"https:"-"https:"-"Université-Grenoble-Alpes" positions at Oak Ridge National Laboratory
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Requisition Id 16074 Overview: We are currently seeking qualified applicants with Information Systems Security Officer (ISSO) experience to support the Field Intelligence Operations Division’s
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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning
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conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for AI Security Research
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on either a large-scale scientific research and development project or large scientific instrument project. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy
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professionals eager to provide premier customer service to ensure people and information technology remain secure. You will be involved in all facets of planning and conducting tactical, strategic, and joint TSSC
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; investigating and reporting security violations/adverse information reports; creating mitigation plans or pathways to resolve deficiencies with the key partners and the cognizant government security agency
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, access control, security systems, and radio systems at the laboratory. The parent group, Instrumentation and Control Services, is also responsible for operation, installation, maintenance, and calibration
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premier customer service to ensure people and information technology remain secure. You will lead and perform sensitive measurements and surveys of equipment and areas, as well as oversee evaluations as
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Requisition Id 15800 Overview: The Laboratory Protection Division (LPD) at the Oak Ridge National Laboratory (ORNL) is seeking a Security Risk Analyst to work as part of a cross-functional team
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will be part of a dynamic team within the National Security Sciences Directorate, working alongside experts in data science, statistics, nuclear engineering, and scientific computing to support high