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transform, and Ordinary differential equations. Requirements: Applicants should have a PhD degree in physics, mathematics or related disciplines, preferably with two to three years of teaching experience
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of reaction-diffusion partial differential equations, called the monodomain equations, can simulate cardiac electrophysiology, but require precise physiological data and are computationally expensive, limiting
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
; differential equations; population dynamics; vectors and matrices in 2 and 3 dimensions; genetics applications. Lecture Section: LEC01: WED 12-2pm & FRI 12-1pm Course Enrollment (est.): 100 Number of Positions
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differential equations, spectral analysis, and scientific computing techniques. Proficiency in programming (MATLAB, Python, or equivalent) is required for developing and implementing numerical models. Experience
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applied/computational mathematics and statistics, especially with numerical partial differential equations and scientific computing, or an area which complements the Department’s research profile. Professor
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applied/computational mathematics and statistics, especially with numerical partial differential equations and scientific computing, or an area which complements the Department’s research profile. Professor
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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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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