280 assistant-professor-computer "https:" "https:" "https:" uni jobs at Oak Ridge National Laboratory
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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
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duties include identification of items, stocking/issuance, shelf life, preventive maintenance, segregation, obsolescence, and disposal. Major Duties/Responsibilities: Help develop, coordinate, and
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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 Science national
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of the Technician is to ensure that all research and operations work is completed in a safe and compliant manner to meet established program goals within time and resource restrictions. This is accomplished by
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in all research activities. Basic Qualifications: PhD in Geophysics, Earth Sciences, Computer Science, or a related field with a focus on computational geosciences. Two years of applied experience
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initial and continuing training. Determine the best delivery method and assist in the delivery of knowledge-based training, performance-based (OJT) training, institutional training, and assigned reading
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Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily
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home to more than 7,500 staff, an outstanding ecosystem of world-class user facilities, and an unparalleled breadth of expertise spanning neutron science, high-performance computing, materials and
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of education and experience may be considered. Expertise in computational material design, additive manufacturing, and material science is a plus. Preferred Qualifications: Such a candidate (1) demonstrates an
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis