329 machine-learning-"https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Oak Ridge National Laboratory in United States
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) Department of War (DOW) Joint CI Training Academy (JCITA) Defense CI Agent Course U.S. Army CI Special Agent Course (CISAC) U.S. Air Force Office of Special Investigations (AFOSI) Academy (Pre-FLETC transition
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(PMI) Science Focus Area and the GPTgp (Generative Pretrained Transformer for Genomic Photosynthesis) project. This position focuses on developing machine learning pipelines, AI-driven scientific
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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ability to deal effectively with a variety of individuals at all levels Must have high level of organization and computer skills, working knowledge of PC, Microsoft Office (Word, PowerPoint, Excel, Access
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needs. By leveraging advanced simulations, machine learning, and data-driven insights, the group enables more effective operations aligned with evolving energy demands. The group also develops hydrologic
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) with questions related to this position. Major Duties/Responsibilities: Develop and apply machine learning models (ML) as surrogates for high-resolution process-based hydrologic models. Design and
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Requisition Id 16148 Overview: Would you like to have a lasting and significant impact on a key user facility in the nation’s scientific infrastructure and strengthen U.S. scientific competitiveness
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, substation, corridor scenarios) Integrate physics-informed machine learning models with signal processing feature extraction Develop prototype software tools for automated waveform analytics and real-time
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strength of ORNL which is the U.S. Department of Energy’s largest Office of Science laboratory. ORNL is home to two user facilities in manufacturing – the Manufacturing Demonstration Facility (https
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. Experience with machine learning and data-driven approaches to diagnostic signal processing and real-time control. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL