177 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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technical environment. Strong programming skills in production controls, full-stack, or related experience. Proficiency in relational databases and data governance. Proficiency in Machine Learning techniques
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, industrial piping design, and utility systems. Preferred Qualifications: Professional Engineer (PE) licensure. Must demonstrate a strong dedication to customer service. Must have strong computer skills and
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, and other small machines Material handling such as moving heavy furniture and other objects Maintaining roadways including but not limited to patching asphalt Performing minor work in support of other
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. Excellent computer skills, including experience performing complex radiological protection calculations. Past or current service in an internship position with a DOE facility. Experience within the DOE
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. Stakeholder and External Engagement Serve as a resource to internal and external stakeholders, communicating best practices, lessons learned, and challenges related to operations. Participate in national and
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learned sent to designer staff. Works with US ITER document Control Center to ensure accuracy and completeness of drawings and other engineering design documents in the DCC system Provides other functions
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, physics science or
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computer needs for staff. Test and verify intermediate-level technology-based procedures and processes. Help plan, coordinate, manage, and maintain intermediate-sized projects under minimal direction
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, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related
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will focus on long-term annual capacity planning to meet program objectives as well as short-term machine operations planning based on resource availability and changing operational conditions. This