173 machine-learning "https:" "https:" "https:" "The University of Edinburgh" positions at Oak Ridge National Laboratory
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in electric machines. Special Requirements: Q Clearance: This position requires the ability to obtain and maintain a DOE Q clearance from the US Department of Energy. As such, this position is a
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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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in electric machines. Special Requirements: This position requires the ability to obtain and maintain a DOE Q clearance from the US Department of Energy. As such, this position is a Workplace Substance
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Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in physics, chemistry, biochemistry or a related field completed within the last five years
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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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. https://jobs.ornl.gov/content/Benefits/?locale=en_US Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and
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Directorate. In this role, you will lead the development and application of physics-informed data science and machine learning approaches to support nuclear nonproliferation missions. The successful candidate
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of manufacturing experience in an R&D and/or a production environment. Excellent written and oral communication skills. Proficiency with standard and advanced equipment, computer systems and software programs
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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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seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver