184 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory in United States
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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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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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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
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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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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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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning
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another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a
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systems (e.g., Swagelok or similar tube fitting experience). Experience with electronics/electrical devices, i.e., soldering and wiring skills, use of multimeter. Basic machine shop experience (drill press
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to learn new material and technology rapidly and put that learning into effective practice. Demonstrated ability to problem-solve and debug application code independently. Preferred Qualifications