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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience applying data analytics, statistical modeling
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will provide research and development (R&D) support to strategically advance science and technology of prototype enrichment devices for processing both uranium-bearing and stable isotope process gases
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development teams Basic Qualifications: A Bachelor's degree in Computer Science, Electrical or Computer Engineering, or other field relevant to the job duties with 2-4 years of relevant experience. Competency
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(ORNL). As a postdoctoral fellow, you will produce publishable results at a steady pace and work at the interface of neutron imaging, computational modeling, and workflow automation. Applicants with
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, robotics, computer engineering, computer science, or closely related field with at least four years of relevant experience. Programming experience, preferably in Python. Strong desire to learn new skills and
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, and physics based computational modeling of joining processes or performance of welded structures. As a postdoc, you will conduct research and development at the forefront and often at the intersection
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such as text, tabular, genetic, environmental, wearable, or image data. Strong publication record in medical and/or biomedical informatics related journals and conferences Preferred Qualifications
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performing x-ray computed tomography (XCT) imaging and the data analysis of images acquired using that method to identify features of interest and perform quantitative 3D image segmentation. The candidate will