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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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areas. Visit ORNL.gov to learn more about ORNL’s Strategic Priorities. Major Duties/Responsibilities: Conduct scientific research of the highest quality and impact during their 3-year tenure appointment
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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management, and other needs for DOE, DOW, and DHS sponsors. This is an early-career position intended for a candidate who will work alongside and learn from experienced staff while independently executing
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solutions to compelling problems in energy and security. The Learning Systems Group at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher specializing in federated learning and privacy
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science & engineering, physics, chemistry, or a
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another, work together, and measure success. Basic Qualifications: A PhD in chemistry, nuclear chemistry, or a related discipline, completed within the last five years Preferred Qualifications: Candidates
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awareness and understanding of open relevant research conducted throughout the DOE complex and the world. Basic Requirements: PhD in Mechanical Engineering, Electrical or Computer Engineering, or related
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activity levels, isotopic content, review of shipping authorization documents, and coordinating cask loading and unloading operations. Learning will be facilitated by requisite training and working closely
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. Engage with the broader community for computational methods, artificial intelligence and machine learning, and real-world coupled physics applications. Deliver on ORNL’s mission by aligning behaviors