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research will be the inclusion stochastic elements in the simulations with the goal of minimising manufacturing variability and defect generation, i.e. robust manufacturing. The outputs of the work will
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recently developed mathematical theory, linking stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through
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of full-time. The research projects for the advertised position will be in the area of branching stochastic processes for phylogenetic comparative methods. This is primarily focused on fundamental
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ReGroStaFT, which develops rigorous mathematical approaches to renormalization and coarse-graining for models from statistical physics, particle systems, and stochastic partial differential equations
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methods and stochastic processes to capture variability, uncertainty, long-term dynamics, and multiscale behaviours. The AGM Research Center is seeking a postdoctoral researcher, supervised by Paul Dario
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
resolving PAH emission, stochastically heated nano-grains, and the continuum emission from thermally heated (nano-)grains in a wide variety of environments. Candidates are highly encouraged to contact
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Georg-August-Universitat Gottingen, Mathematics Institute Application ID: Gottingen-PROFESSOR [#26702] Application Title: W3 Professorship in Stochastics and its Applications (f/m/d) Application
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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to mathjobs.org and notify the department member you are interested in working with. Please see the link for members’ information: https://math.sustech.edu.cn/user/6.html?lang=en . Some professors want to recruit
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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially