407 Computer-Science-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory
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processing, modeling and simulation, robotics, diagnostics, and computer science. Partner with researchers from universities, national laboratories, and industry to advance research and technology deployment
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engineering projects from conception to transition to operations and ensuring projects meet their scope, schedule, and budget targets. Develop detailed project definitions, scopes of work, and methods
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to a HFIR Shift Supervisor and resides in the HFIR Operations Section, Research Reactors Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities
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degree with experience in Electrical and Computer Engineering, Computer Science, Mathematics, or a science related field. Proven experience in radar and optics applications. Excellent communication skills
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between ERP and other systems. Basic Qualifications: BS Degree in IT, Computer Science, Engineering, Business, or related field and 5 to 7 years of experience. An equivalent combination of education and
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Laboratory within the Nuclear Measurements and Analytical Services (NMAS) Group. ORNL is a world leader in advanced science and technology research involving several nonreactor nuclear facilities, accelerators
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS or MS degree in Computer Science, Geospatial Science, Data Engineering, or related field A
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Requisition Id 16218 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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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 most pressing
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will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital