341 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions at Oak Ridge National Laboratory in United States
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and engineering solutions that strengthen U.S. energy systems, industrial competitiveness, and national security. Through research, applied development, demonstration, and industry partnerships, ESTD
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that strengthen U.S. competitiveness in emerging industries. University of Tennessee - Oak Ridge Innovation Institute (utorii.com) . UT-ORII’s overall goal is to become a center for convergent research and talent
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technical setting. Familiarity with ORNL processes and systems. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing
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unique opportunity to shape the future of scientific discovery by attracting and securing top-tier scientific and technical talent. As a trusted advisor to hiring managers and business leaders, you will
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Requisition Id 16090 Overview: We are seeking a Geospatial Software Engineer. This position resides in the Remote Sensing and Environmental Informatics Group in the Earth System Informatics and Data
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of identity and access solutions across the organization. This role ensures secure and efficient access to systems and data, aligning with compliance requirements and organizational security policies. The Team
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CCED. Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we
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drug test and participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. DOE Office of Science national
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participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national
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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