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providing technical consulting to numerous work-for-others projects! This position resides in the Enterprise Operations group in the Digital Services Infrastructure and Operations division
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related
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in bridging the gap between ORNL coated particle research and development activities with industrial partners. They will help develop program plans and execute research efforts tailored to meet the
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Board of Certified Safety Professionals (BCSP) certification. Current Tennessee asbestos inspector credentials and asbestos sampling experience. Familiarity with common industrial hygiene sampling methods
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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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operations, TAL standard operational procedures (SOPs), analytical methods, and work aids. Participate in the development, review, and verification, and validation of TAL laboratory, counting room, and hot
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Requisition Id 15192 Overview: We are seeking a dynamic and innovative Scientific Lead for developing Quantum-Accelerated High-Performance Computing (QHPC) capabilities. This role includes leading
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areas including: Quantum information sciences, Artificial intelligence and machine learning, Biotechnology, High-performance computing, Semiconductors, and Advanced materials and manufacturing. Generate
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to shape project and program development. Engage with sponsors to lead program development activities, including proposal preparation, whitepaper development, and conference participation. Mentor early
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science, or a related field with a strong focus on AI applications in manufacturing. Experience in machine learning, data science, or computational methods applied to manufacturing and materials science