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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 29 minutes ago
algorithms for solving partial differential equations # Implementation, testing, and benchmarking of computational methods on high-performance computing and quantum computing platforms # Analysis and
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. The advertised position will be placed at the Division of Applied Mathematics. The division conducts broad research in applied mathematics, with an emphasis on numerical analysis for partial differential equations
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for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered
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mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling. Proficiency in at least one scientific
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, differential equations, and statistics. The successful candidate may also have the opportunity to participate in the department’s undergraduate research activities, including advising a math-in-industry senior
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of geometric measure theory, the calculus of variations, partial differential equations, and geometric analysis. The specific objective is to develop techniques to establish existence, regularity, uniqueness
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Operator Algebras, Nonlinear Functional Analysis, Topology and Geometry, algebra, etc. l applied mathematics, including Partial Differential Equations, Dynamical Systems, Combinatorics and Graph Theory
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, United States of America [map ] Subject Areas: Calculus, Differential Equations, Statistics Appl Deadline: (posted 2025/08/26 05:00 AM UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position
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learning, with a particular focus on differential equation-driven frameworks. The research will be fundamentally oriented, and the overall mission is to develop computationally efficient and statistically