341 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Oak Ridge National Laboratory in United States
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Requisition Id 16013 Overview: We are seeking a Nuclear Quality Representative who will focus on implementing Quality program requirements in support of Research and Development (R&D) and Pilot
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Requisition Id 15751 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position
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) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of
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considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and
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require passing a pre-placement 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. Department
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, and access world-leading research computing facilities—all while working on problems of genuine national significance. We seek outstanding candidates with broad knowledge of hydrology and water
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, invoices, and schedules in order to maintain conformance to both program and contractual requirements. Review and interpret government and ORNL procurement policies, regulations and procedures. Basic
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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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communication skills including verbal, presentation, and writing skills are required to enable effective interaction with technical peers and program managers. Preferred Qualifications: Prior experience working
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a team. Comfortable in a multi-disciplinary environment. Preferred Qualifications: Experience conducting land surface model simulations in high-performance computing environments, evaluating models