316 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Oak Ridge National Laboratory in United States
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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Requisition Id 15046 Overview: Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program. The program is 4-6 months
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report on relevant project elements. Actively collaborate with the domain experts from U.S. government laboratories and academia involved in similar efforts. Significantly contribute to R&D, design, and
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algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and
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transformative solutions to compelling problems in energy and security. The Enrichment Systems Engineering Section is seeking a Senior Machine Design Engineer who will support the Enrichment Science and
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competing structural phases and the vibrational and electronic structure in materials with defects and disorder. This effort will further seek to implement strategies to leverage machine learning techniques
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visit https://www.ornl.gov/directorate/isotopes for more information about ISED. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and
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Ridge National Laboratory (ORNL). This role will focus on the development and implementation of novel robotic construction workflows, human-machine collaboration strategies, and automated manufacturing