169 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory
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, considering hazards for every task, and never stop learning. Additional tasks as assigned by management. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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within and outside the laboratory. Initiative and flexibility to work varying schedules, including shifts starting as early as 7:00 a.m. Willingness and ability to learn and perform various tasks, adapting
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Suite (Word, Excel, PowerPoint, Outlook) and Adobe Acrobat. Ability to learn ORNL business systems. Strong interpersonal and communication skills to interact tactfully with staff and external visitors
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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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, 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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, Commercial Nuclear Power, or the Armed Services complexes. An equivalent combination of education and experience may be considered. Preferred Qualifications: Currently qualified as a DOE Senior Radiological
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science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12) years of aligned professional experience
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related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application
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communications infrastructure. Manage Hyper-V virtual machines and maintain SQL Server for facility-specific applications. Support networking equipment: switches, access points, bridges, time clocks, modems, and
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Organizational learning and technology proliferation Generate analytical assessments and technical products on emergent technological issues that are to be shared with counterparts, ORNL leadership, and sponsors