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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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. 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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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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Systems Pharmacology or differential equation–based mechanistic modeling Ability to translate biological hypotheses into mathematical frameworks and to integrate biological, pharmacological, and clinical
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calculus, linear algebra, differential equations, and basic probability at the university level Experience with scientific computing (Python, Mathematica, MATLAB, or similar) Strong written and spoken
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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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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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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
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approaches. Through innovative work combining machine learning with new paradigms for direct solvers of high-dimensional partial differential equations, members of CHaRMNET aim to overcome this challenge
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization