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Statistics is opening a PhD position in mathematics focusing on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and
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on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is May 30, 2025. Project
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investigates quantum fields on asymptotically anti-de Sitter spacetimes, primarily with techniques from partial differential equations on manifolds. Your job You will work on quantization and renormalization
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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geometric flows and apply them to understand long term behaviour of these processes. The new methods will contribute to the theory of nonlinear partial differential equations, enable the application
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investigates quantum fields on asymptotically anti-de Sitter spacetimes, primarily with techniques from partial differential equations on manifolds. Your job You will work on quantization and renormalization
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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global analysis, functional analysis or analysis of partial differential equations Language proficiency in English or German These posts are designed to serve in fostering young researchers. It gives