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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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, and the ability to apply cyber-physical systems security technical knowledge. Demonstrated ability and willingness to acquire new knowledge and learn new skills, along with superior interpersonal
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, retrieval-augmented generation systems, or other AI-enabled tools that improve access to structured or unstructured data. Experience with machine learning, artificial intelligence, and/or natural
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support research staff within ADADS and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including the characterization of nuclear material
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, assessing hazards for every task, and committing to continuous learning. Other tasks as assigned by management. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values
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. Proactive mentality with a commitment to continuous learning and improvement in the rapidly evolving HPC field. Special Requirements: Visa sponsorship is not available for this position. Work may involve
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worldwide challenges. Our research and development capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning
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attitude, considering hazards for every task, and never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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projects and troubleshooting complex system issues and access problems. Ability to set priorities, learn new skills, and prioritize continuing professional development. Commitment to strong service values