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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
: Course Number and Title: MAT244H5Y, LEC0101 – Differential Equations I Course Description: Ordinary differential equations of the first and second order, existence and uniqueness; solutions by series and
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or related field Knowledge of Numerical solution of partial differential equations Knowledge of Scientific computing / high-performance computing Knowledge of Algorithmic modeling and simulation Fundamentals
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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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, 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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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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of variations, partial differential equations, and geometric analysis. The successful candidate will contribute to the development of analytical tools aimed at establishing existence, regularity, uniqueness, and
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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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track record in research aligned with partial differential equations and/or geometric analysis. You will demonstrate the ability to work independently, contribute to team-based projects, and guide
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the following: mathematical modeling, statistics, machine learning, differential equations, dynamical systems, numerical analysis, optimization, or related areas -Documented ability to teach a range of
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning