314 assistant-professor-computer-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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for additive manufacturing (AM). The candidate will aid staff in conducting high quality research by developing, integrating, and deploying advanced sensing modalities (e.g., thermal, optical, acoustic, etc
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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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quantum and/or microelectronic materials, enabling Labs-of-the-Future (LoTF) for breakthrough science. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation
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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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Requisition Id 15823 Overview: We are seeking a postdoctoral researcher skilled in biogeochemistry who will contribute to mercury remediation technology development program, specifically focusing
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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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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