340 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Helmholtz Zentrum Geesthacht" positions at Oak Ridge National Laboratory
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and
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the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. Major Duties/Responsibilities: Conduct
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, integration, verification & validation, sustainment). This position resides in the Support Services & Isolated Environments group in the Research Computing division of the Information Technology Services
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Program requirements to maintain accountability and integrity of ORNL locking systems as well as compliance with applicable DOE Orders. This position resides in the Physical Security Team in the Security
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highly qualified individuals to play a key role in improving the security, performance, and reliability of the NCCS computing infrastructure which supports multiple highly ranked Top500 Supercomputers
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) in the National Security Sciences Directorate (NSSD). The Nuclear Nonproliferation Division conducts world-class research, technology development, risk assessment, and systems analysis in support of
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implementing operations plans within budget and schedule. Follows environmental, safety, health, and quality program requirements, including ISMS and SBMS. Deliver ORNL’s mission by aligning behaviors
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
& Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL and will be jointly supervised by Dr. P. Ganesh, Dr. Rama Vasudevan and Dr. Vitali Starchenko
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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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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