144 machine-learning "https:" "https:" "https:" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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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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inspection, robotics, photogrammetry, and/or machine learning. Experience with programming with data analysis and/or automation software (e.g. C++, Fortran, Matlab, LabView, Python). Special Requirements
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking an SAP Functional Analyst to serve as a
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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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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