75 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" Postdoctoral positions at Oak Ridge National Laboratory
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values of Impact, Integrity, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong
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Qualifications: Ph.D. in robotics, mechanical engineering, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years
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how we treat one another, work together, and measure success. Basic Qualifications: PhD. in mechanical engineering, material science, electrical engineering, computer engineering, computer science
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, including energy-efficient building systems, thermal-fluid processes, industrial heating applications, data center thermal management, and other emerging energy technologies. Develop and operate
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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related
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domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science
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and graduate students. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or a related discipline. Demonstrated depth in at least one of the areas of
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learning systems. Investigate scientific foundation models, surrogate models, digital twins for different scientific disciplines Basic Qualifications: A PhD in Computer Science, Applied Mathematics
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mathematics, computer science, physics, engineering, operations research, or a related quantitative discipline. Demonstrated experience applying Bayesian methods to scientific or engineering problems