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the experimental research program. Contribute to project management and systems engineering for the instrument. Develop system requirements, test plans, and operations documentation. Assist in assembly, installation
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exam content and question banks in accordance with policy. Collaborate with Stakeholders Partner with technical SMEs, program leads, instructors, and other stakeholders to gather training requirements
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers
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. · Assists with periodic comprehensive training program self-assessments. · Actively safeguard, protect, and maintain PII and other controlled personnel information, by adhering to ORNL guidelines and protocol
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, safety, health, and quality program requirements. Basic Qualifications: A BS degree with at least 5 years of related experience in high level nuclear operations including working in C-zone laboratories
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://www.ornl.gov/facility/mdf ) and the Carbon Fiber Technology Facility (https://www.ornl.gov/facility/cftf ) – as well as signature user facilities in high performance computing, neutron sciences, and other areas
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Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML
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software engineers within the Computer Science and Mathematics Division, providing an opportunity to work in a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron
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investigations and tracking of S/CI cases at ORNL. Coordinate the S/CI program, resolve issues, and promote awareness. Serve as the S/CI Subject Matter Expert. Provide training and participate in DOE meetings
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in