332 computing-"https:" "https:" "https:" "U.S" "U.S" positions at Oak Ridge National Laboratory
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program requirements and/or future client needs. Provide input on how to make optimum use of the resources of the organization (i.e., Supply Chain Management). In conjunction with the supervisor, develop
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Requisition Id 15784 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is responsible for providing computational resources at extreme
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, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa
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participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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structure, property, and function in support of the user program and theme science. Selection will be based on qualifications, relevant experience, skills, and education. Functional Hybrid Nanomaterials
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preferred. Special Requirements: This position requires the ability to obtain and maintain an HSPD-12 PIV badge. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL
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analysis of ORNL programs and initiatives, facilities, Cooperative Research and Development Agreements, Strategic Partnership Agreements, Intellectual Property Reviews, Software, Leadership Computing
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with environmental, safety, health, industrial hygiene, and quality program requirements. Be able to wear PPE, such as but not limited to respiratory protection and anti-contamination clothing. Deliver
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, curation, and modernization of research data and legacy records to ensure they are well-documented, trustworthy, and prepared for advanced analytics, modeling, and future computational use. The candidate