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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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scientific knowledge and develop innovative strategies and technologies that strengthen the nation’s leadership in sustaining Earth’s natural resources. Our R&D staff conduct research, develop technology, and
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scientific research project or research team. Preferred Qualifications: Demonstrated leadership experience in scientific research, such as serving as a program or project manager, with a record of mentoring
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the production of proposals. PSD at ORNL delivers scientific discoveries and technical breakthroughs that will help realize solutions in energy and national security and provide economic benefit to the nation. Our
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the Workplace Substance Abuse Program (WSAP), which requires pre‑placement and random drug testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive
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the Manufacturing Process Engineering Group in the Enrichment Science and Engineering Division (ESED) within the Isotope Science and Enrichment Directorate (ISED) at Oak Ridge National Laboratory (ORNL). ESED serves
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intelligence, and architecture-aware algorithms that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address
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research at the intersection of quantum information science and fundamental materials science focused on understanding the coherent dynamics of optically accessible spins in bulk and van der Waals materials
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Requisition Id 15959 Overview: Oak Ridge National Laboratory seeks a visionary scientific leader to serve as Section Head for Integrative Computational Biosciences within the Biosciences Division
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computational infrastructure and analysis tools for the scientific community. In this position, you will: Work independently and as part of a team to research, develop and operate back-end data analysis workflows