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, United States of America [map ] Subject Area: Analysis - Partial Differential Equations Appl Deadline: 2025/12/01 11:59PM (posted 2025/11/10, updated 2025/10/10) Position Description: Apply Position Description
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, statistical thermodynamics, and numerical methods for partial differential equations. Experience or a strong interest in the study of stochastic fluid models is required. Knowledge of scientific programming
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for partial differential equations. Experience or a strong interest in the study of Van der Waals-type diffuse interface models is required. Knowledge of scientific programming languages (C-Petsc C) and HPC is
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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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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research community. The position is based in the division for Analysis, Algebra, and Dynamical Systems (LTH). The postdoctoral position is connected to the study of partial differential equations (PDEs) in
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
. Preferred Education Skills and Experience: Preferred qualifications include research and teaching experience in mathematics; a strong research interest in partial differential equations, mathematical physics
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of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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computational methods and help develop personalised models. The practical element of your project will be based on, but not limited to, Ordinary and Delay Differential Equations, bifurcation analyses, Bayesian