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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 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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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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. Candidate should have an affinity for multidisciplinary fields of research and a hands-on attitude towards experimental work. Computer skills in simulation and modelling are also desirable. We expect
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 18 hours ago
be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions about the application
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, simulation centers, and student researchers. The role includes coordinating human-subject research activities, supporting project timelines and deliverables, and contributing to scholarly dissemination through
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. Computer skills in simulation and modelling are also desirable. We expect creativity, flexibility and ability to co-operate within an interdisciplinary research group. Excellent communication skills
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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, paragraph 1, letter c) of the GDPR) - depending on the circumstances. You have the right to: request access to your data, receive a copy of it; rectify (correct) it; delete it; limit its processing; transfer
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical