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efforts across DOE scientific applications. Develop and apply distributed intelligence methods on heterogeneous computing resources from edge devices to leadership-class systems. Develop novel
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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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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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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 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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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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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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: Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications Experience with numerical computing using
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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
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at the intersection of quantum sensing, quantum materials science, and quantum computing. Formulate novel solutions to problems of national interest and plan and execute the research and development necessary