313 assistant-professor-computer-science-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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test and 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
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practices; participating in professional societies. Basic Qualifications: • Bachelor of Science, in Information Technology, Computer Science, or related field with at least eight (8) years of network
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Structure and Nuclear Astrophysics research program. Major Duties/Responsibilities: Conduct original independent research on the physics of exotic nuclei. Provide technical leadership for conceptualization
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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 most pressing challenges. Our team
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Requisition Id 15887 Overview: We are seeking a Senior Technician who will focus on the preparation and operation of the Uranium Science and Technology Center. This Center focuses on the front end
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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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hot cell operations. Develop and coordinate production and processing schedules and liaise with Group Lead, R&D SME,and technical staff in support of customer requests. Assist Group Lead with
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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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Requisition Id 15853 Overview: The High-Performance Computing Systems Section within the National Center for Computational Sciences (NCCS) is seeking an IAM Linux Engineer to join the HPC
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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