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Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications. The starting date is flexible, preferably no later than September 2026
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++, or similar languages. Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations. Experience with high-performance computing and the
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, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing
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Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications . The starting date is flexible, preferably no later than September 2026
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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
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degree in mathematics or a related discipline Knowledge of solid mechanics, partial differential equations, asymptotic methods, numerical methods, and/or homogenisation are strongly desired Capacity and
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: Experience in one more of the following areas: Mathematical tools for data analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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analysis and biogeochemistry. Demonstrated ability to solve complex differential equations, essential for modeling fluid dynamics and geochemical processes in river-lake systems. Extensive knowledge of river
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the Principal Investigator on research in Lagrangian geometry and fully nonlinear partial differential equations, including the construction of minimal Lagrangians in complex hyperbolic space and their