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experimentation and theoretical modeling. This position resides in the Collection Science and Engineering Group in the Modeling & Characterization Section, Nuclear Nonproliferation Division, National Security
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engineering. This position seeks a candidate with demonstrated experience in applied machine learning and computational data science for complex, safety-critical systems, with an emphasis on time-series anomaly
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to ensure compatibility and safety of system. Inspect electrical systems, equipment, or components to identify hazards, defects, or the need for adjustment or repair and to ensure compliance with codes
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on-site execution of program security requirements for assigned Special Access Program (SAP) program(s), to include designing and successfully conducting a security program which ensures compliance with
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security
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). Our group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. The SE Group also provides technical support to operations and maintenance and performs systems
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Qualifications: Requires a bachelor’s degree in computer science, computer engineering, or related field and a fundamental understanding of cyber security principles, tools, and operational applications. Preferred
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ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: BS in computer engineering, computer
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choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security