178 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Oak Ridge National Laboratory
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic
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engineering disciplines and 7+ years of working experience in a related field. Candidates with a Doctoral degree are encouraged to apply as well. Advanced understanding of mechanical systems, machine design
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enrichment technology related components using 3D Computer Aided Design (CAD) software (SolidWorks). Create 2D drawings to be used for fabrication and communicate with staff and suppliers through
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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, including Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and Adobe Acrobat. Ability to learn ORNL business systems. Strong interpersonal and communication skills to interact tactfully with staff
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response to upset conditions in the data centers. Operators are trained to the Computational Science Building Computer Center Operations Emergency Response Plan and Emergency Response Checklists. Upset
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in code review sessions. Demonstrating feature implementations to product owners for acceptance. Basic Requirements: Successful candidates will have either a B.S. degree in computer programming or
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in code review sessions. Demonstrating feature implementations to product owners for acceptance. Basic Requirements Successful candidates will have either a B.S. degree in computer programming or
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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop software as a part of a team of research application software engineers, computer scientists, and engineers. Work with researchers
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, Computer Engineering, Computational Engineering, or a closely related field. At least 2 years of experience working with Linux-based systems; familiarity with core utilities and managed services such as