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and carbonation reactions in aqueous solutions, amorphous materials and at mineral-water interfaces. Collaborate with ORNL researchers on the design and execution of experiments to measure
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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Associate position for health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute (NCI) and the
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travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding
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uncertainty quantification. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and
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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more
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, beam transfer lines and SNS Ring. The qualified candidate will also design software to monitor and control the SNS accelerator in real time and work in SNS Control Room. As a U.S. Department of Energy
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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challenges facing the nation. We are seeking a highly motivated Postdoctoral Research Associate who will support resilience of critical infrastructure system projects at ORNL. This position resides in
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the High Flux Isotope Reactor (HFIR) and the Radiochemical Engineering Development Center (REDC), as you help guide the strategic growth of our isotope production enterprise. This position will primarily