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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
or Equivalent Required Qualifications, Competencies, and Experience - Background in microscale meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical
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, collaboration, high-quality work, and real-world problem solving. This position will conduct numerical simulation studies, work on research projects with external partners, mentor and guide graduate student
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continuing dental education. As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes
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molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning
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to methods and principles aimed at understanding and modelling the mechanics of deformable bodies. Solid mechanics is a core discipline in mechanical engineering and is of fundamental importance to many other
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the
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learning, or deep learning models Appointment Type Restricted Salary Information Commensurate with experience Review Date March 10, 2025 Additional Information The successful candidate will be required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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pathogenesis. The candidates will utilize both in vitro and in vivo model systems to investigate how hepatitis E virus invades the central and peripheral nervous systems to cause neurological injuries leading
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large