54 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Oak Ridge National Laboratory
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
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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related field completed within the last 5 years. Research background in S/TEM or SPM. Strong proficiency in mechanical design and computer aided design (CAD) and 3D modeling. Preferred Qualifications
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well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes
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) at Oak Ridge National Laboratory (ORNL). This project will be focusing on the development of advanced Artificial Intelligence (AI)/Machine Learning (ML) tools for the measurements of 3D tensorial strain in
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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simulations of reactor core, and other system components Develop reduced-order calibration approaches and apply machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model
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.) Understanding of computational scaling techniques for machine learning and high-performance computing Preferred Qualifications: A strong publication record demonstrating either core machine learning capabilities
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computer engineering, computer science, physics, chemistry, materials science, chemical engineering, or a related field. Demonstrated ability to communicate research results in peer-reviewed publications and