340 professor-computer-science "https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" positions at Oak Ridge National Laboratory
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Requisition Id 16119 Overview: We are seeking a Senior Nonproliferation Data Scientist to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences
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. This position resides in Systems Engineering and Cybernetics Group in the Computational Sciences & Engineering Division of the Computing & Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL
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cognizant system engineer for the assigned HFIR plant system in the HFIR System Engineering Program and DOE O 420.1 for the hazard category 1 nuclear facility and shall be qualified as a HFIR System Engineer
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Laboratory (ORNL). Major Duties/Responsibilities: Collaborate with a diverse team to bring complex engineering designs from conception through manufacture and use. Create engineering drawings and digital
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are responsible for maintaining the HFIR equipment and facilities to ensure safe, reliable, predictable, and efficient operations. This scope includes the HFIR maintenance program and processes; implementation
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Computer Science, Engineering, Project Management, or related field (or equivalent experience) and at
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treat one another, work together, and measure success. Basic Qualifications: BS degree in engineering, computer science, or a related field with a minimum of 8 years of relevant experience. An equivalent
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we treat one another, work together, and measure success. Basic Qualifications: Analytics and Technical Skills BS/BA degree in a scientific, statistical, mathematical, informatics, engineering, or
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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 of Energy (DOE) Office of Science national
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domain teams. Basic Qualifications Bachelor’s degree and 3+ year’s experience in Geography, GIScience, Computer Science, Data Science, Statistics, Engineering, or a related field with a strong quantitative