163 computer-science-programming-languages positions at Oak Ridge National Laboratory
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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 laboratory, ORNL has an impressive 80-year legacy
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Requisition Id 16046 Overview: The Computer Science and Mathematics Division (CSMD) is seeking an internationally recognized and research active computational scientist to lead and grow world
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10 CFR 851, the DOE Worker Safety and Health Program. Continually seek ways to increase operational efficiencies and improve safety culture in support of the research mission and champion initiatives
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, or CosmosWorks. Experience in hardware system integration (LabView, PLC programming, etc.) to control a mechanical system. Familiarity with computer programming languages like C, C++, Python, or MATLAB
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testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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Code or skill level and estimating the duration of time (i.e. labor) for each task. Create the Bill of Materials (BOM) for the job plan and submits the Materials Request requisition. Write standard work
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for program and project developments. Lead teams to define and implement sponsor requirements. Interact with sponsors and funding agencies from project conception, proposal writing, and project execution
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, or other relevant scientific programming languages. Scientific research ability demonstrated by peer-reviewed publications and/or presentations at technical conferences. Strong interest in contributing
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, or other relevant scientific programming languages. Scientific research ability demonstrated by peer-reviewed publications and/or presentations at technical conferences. Strong interest in contributing
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(or expected soon) Demonstrated experience in hydrologic or land surface modeling. Experience in applying AI/ML techniques to hydrologic or Earth sciences. Proficiency in scientific programming languages such as