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) is seeking a scientist to develop and apply Computational and Artificial Intelligence (AI)/Machine Learning (ML) methods to advance hydrologic modeling and Earth system predictability. The successful
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designed or prepared for the nuclear fuel cycle.Develop associated control, destruction, or demilitarization plans. Develop subject matter expertise in the major areas of concentration involving export
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the research needed to accelerate the delivery of solutions to the marketplace. Major Duties/Responsibilities: Develop cost estimates, work plans, materials procurement & deliveries, and assists in managing
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Laboratory (ORNL) and UT created to prepare interdisciplinary leaders in energy, science, and technology and develop a world-class workforce for industry, government, and academia that will drive innovation
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develop and perform detailed analytical characterizations on a variety of nuclear materials as well as those for certification of reference materials. The group’s focus areas will be in the development
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, prepare specifications, perform readiness assessments, issue reports, and maintain related data. Provide imaginative, thorough engineering solutions to a wide range of complex, ambiguous, and/or difficult
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Laboratory (ORNL) and UT created to prepare interdisciplinary leaders in energy, science, and technology and develop a world-class workforce for industry, government, and academia that will drive innovation
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the US Department of Energy's vision for achieving zero-carbon industries. Provide technical support and guidance to consortium partners to develop and pilot solutions that can be scaled for national reach
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the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be
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the expertise of many disciplines to develop and demonstrate exciting new nuclear fuels, nuclear power systems, and the numerous supporting technologies the enable efficient, safe and secure delivery