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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 22 hours ago
Mathematics, Physics, or a closely related field. Strong background in partial differential equations and stochastic analysis and a genuine interest in its applications to fluid dynamics or related areas
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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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-dynamical or environmental systems Research on quantum and hybrid quantum–classical algorithms for solving partial differential equations Implementation, testing, and benchmarking of computational methods
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of the following subjects: Number Theory and Representation Theory Algebraic Geometry Differential Geometry and Geometric Analysis Differential Equations Scientific Computing Interdisciplinary Studies Analysis and
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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
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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
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first-year courses such as quantitative reasoning, precalculus, applied calculus and possibly more advanced courses such as linear algebra and differential equations. Non-teaching duties may include
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in Financial Mathematics. We seek candidates with expertise in areas such as: Stochastic calculus and stochastic differential equations Mathematical finance and derivative pricing Risk management and
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courses in the academic year with four (4) in the fall semester and four (4) in the spring semester (lower and upper level such as Calculus, Discrete Mathematics, Linear Algebra, and Differential Equations