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or to optimise model parameters in large-eddy simulations. 3. Predicting extreme events, such as sudden bursts or high-drag episodes, using assimilated flow fields and physics-informed forecasting models. 4
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
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on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The faculty of the South Carolina Institute of Archaeology and Anthropology at the University of South Carolina
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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chancellor, executive vice chancellor. Additional Duties Mastery Skills Checkoff's Skills Lab Participation Mental Health Nursing Simulations Technology Demonstrated proficiency using computer applications
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processing associated purchase and renewal invoices. This position follows established cataloging workflows and uses related systems to perform high-quality copy cataloging to prepare records for reliable
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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, process modelling, process support) and Geert Poels (e.g., business architecture, business ecosystem modelling, system-of-systems governance, capability-based management) (https://ugent
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behavior (e.g., ignition, burning rate, fire growth). Such predictions require accurate and efficient simulation of the tightly coupled, time-dependent condensed- and gas-phase processes that control
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, visit https://www.biocean5d.org/ . The applicants will work on close collaboration with Jose M. Montoya, from CNRS. - Developing analytical theory and/or simulation models on the relative importance