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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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algorithms for remote devices and minimize write amplification.; - Experimental evaluation of the developed prototype using realistic workloads.; The tasks described in this work plan require the application
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central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal Investigator (PI
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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: Independently execute a range of complex scientific research activities in a core facility including planning and optimizing research, designing analysis algorithms, and providing training to researchers. Job
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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, emission via the spintronic THz emitter, and detection using a photoconductive antenna. Development of computational algorithms to achieve high-resolution THz imaging. Prepare, write, and contribute
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development of advanced cryogenic calorimeters and associated electronics for the next-generation neutrinoless double-beta decay search. Support the development of Artificial Intelligence (AI) algorithms
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, client devices, and the network itself; • Autonomous platform positioning and control, through the development of algorithms capable of determining suitable network configurations according to the observed