37 machine-learning-phd-in-denmark Postdoctoral positions at Oak Ridge National Laboratory
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in electrical or
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analytics, and machine learning, the Grid Interactive Controls group delves deeply into understanding intricate grid-edge operations. Researchers are dedicated to laying the groundwork for optimal X2G
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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Qualifications: A PhD in quantum science, physics, materials science, or a related field completed within the last 5 years. Previous research experience in quantum sensing, quantum photonics, cryogenic
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Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about
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Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about
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experiments in the physical, chemical, materials, biological and medical sciences. HFIR also provides unique facilities for isotope production and neutron irradiation. To learn more about Neutron Sciences
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image