272 professor-computer-science "https:" "https:" uni jobs at Oak Ridge National Laboratory
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will be part of a dynamic team within the National Security Sciences Directorate, working alongside experts in data science, statistics, nuclear engineering, and scientific computing to support high
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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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Qualifications: A BS in computer science, information technology, computer engineering, or a related field of study and a minimum of 8 years of proven experience is required. An overall combination of equivalent
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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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to the development of new initiatives in their area, and interact with ORNL staff, industry, and academic partners. This position is in the Sustainable Manufacturing Technologies Group in the Manufacturing Science
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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 of addressing the nation’s
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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 of addressing the nation’s
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and effective results supporting the customer's mission. ORNL is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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program with a minimum of 5 years of journeyman experience or 10 years of documented experience in the crane and rigging industry. Ability to operate all types of load handling equipment including, but not
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: MS in electrical, computer engineering, or related