265 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" uni jobs at Oak Ridge National Laboratory in United States
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using approved technologies and systems to manage training data, records, and reporting, ensuring accurate and timely submission for course credit. Forecast learner demand and assist with scheduling
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include timber management, forest inventory, wildfire planning, habitat restoration and reforestation, detection and control of exotic forest insects and plants. More information about NRMT can be found
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science discovery, the research will pursue development of data pipelines using automated workflows, creation of multi-modal databases and novel ML-approaches that allow integration of different theory
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Requisition Id 15574 Overview: 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
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, infrastructure, and associated system components. Develop software (front-end and back-end), APIs, services, and microservices; design database schemas; manage data flows and storage. Work on deployment
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dispositions of inspected components. Program, set-up and operate conventional, special-purpose and Computer Numerical Controlled (CNC) machining including lathes, mills, surface grinders, multi-axis CNC
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physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S
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physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S
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physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing