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will work with nonlinear partial differential equations, constitutive modelling, and numerical methods to simulate large-scale mass-movement events, with the aim of improving our understanding of flow
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University of California, San Francisco | San Francisco, California | United States | about 20 hours ago
project, forming relationships and applying standardized and proven problem-solving methods to actively resolve upstream and midstream challenges through all steps of the research process. The duties may
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researcher to develop observational design and impact assessment methods, leveraging techniques such as data assimilation and machine learning. https://www.jamstec.go.jp/ccoar/e/ [Work content and job
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that synchronisation between storm waves and elevated water levels can stabilise certain Baltic Sea beaches, challenging the traditional “cut and fill” concept. Despite numerous site-specific studies, there remains a
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or morphodynamic applications in estuarine and coastal environments.. Proven experience in scientific programming of numerical methods (the finite element method in particular) is a strong asset. Please submit any
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and health. The lab conducts method-driven research in natural language processing (NLP) and artificial intelligence (AI), with an emphasis on LLM reasoning, uncertainty quantification, interpretability
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a multidisciplinary problem centered around computational mechanics and engineering, potentially involving (i) multiphysics problems, (ii) multiscale methods, (iii) uncertainty quantification and (iv
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matrix prepared by PIP must allow for optimal gas permeability. Objectives and Methods ------------------------- This study aims to investigate the infiltration of porous matrices obtained by PIP using
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of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel