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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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: EDPs2 (Partial Differential Equations: Deterministic and Probabilistic Studies), Geometry, and LIMD (Computer Logic and Discrete Mathematics). This diversity of research topics within a single laboratory
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differential equations is beneficial Effective communication skills and an interest in contributing to a highly international and interdisciplinary team Working proficiency in English for daily communication and
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 30 days 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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, 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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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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mathematics for a better understanding of partial differential equations describing fluid-like phenomena in nature, such as atmospheric or oceanic flows, or the motion of charged fluids such as plasmas. A brief
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Mathematics, the solution of Partial Differential Equations and the Analysis and Implementation of Discretization Methods Fluency in spoken and written German and English (level C1) Capacity for teamwork
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are looking for a strong candidate to work in a team on the interdisciplinary StochMan project that integrates elements of stochastic analysis, geometry, partial differential equations, and computational