74 phd-position-data-mining Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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member of your PhD committee. Letters may be uploaded directly with your application or sent to [email protected] , with the position title and requisition number included in the subject line
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aluminum alloys. The position will allow significant interactions with researchers of varying backgrounds and other opportunities for professional development. This position lives in the Alloy Behavior and
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universities to address project objectives. Present research results within the project and at national and international conferences, and publish findings in peer-reviewed journals, and datasets in DOE data
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hybrid quantum-classical computing approaches and investigate architectural, performance, resource, and scalability tradeoffs. The position provides opportunities to conduct cutting-edge research
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will be expected to simultaneously execute multiple projects, contribute to development of new initiatives in their area, interact with ORNL staff, industry, and academic partners. This position resides
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opportunities to develop research methodologies as well as collaborate with experimental groups at Oak Ridge National Laboratory (ORNL). This position resides in the Materials Theory Group in the Materials
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temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
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, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing. This position resides within the Quantum Sensing and Computing Group in the Computational Sciences and Engineering