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research results and publish scientific results in peer-reviewed journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong commitment
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, and access world-leading research computing facilities—all while working on problems of genuine national significance. We seek outstanding candidates with broad knowledge of hydrology and water
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. Major Duties/Responsibilities: Conduct
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in
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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
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publish scientific results in peer-reviewed journals on time. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and
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Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
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choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security