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] Subject Areas: Mathematics in the sciences: Applied Analysis; Geometry, Groups, and Dynamics; Nonlinear Algebra; Pattern Formation, Energy Landscapes, and Scaling Laws Appl Deadline: 2025/12/01 11:59PM
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-ALGGEOM26 [#27311] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony 30167
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 days ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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, Germany [map ] Subject Area: Mathematics Appl Deadline: 2025/10/31 11:59PM ** (posted 2025/09/15, listed until 2026/03/15) Position Description: Apply Position Description The Cluster of Excellence
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of Mathematics and Natural Sciences, Department of Mathematics, Prof. Dr. Gavril Farkas, Unter den Linden 6, 10099 Berlin, Germany or preferred in electronic form to farkas@math.hu-berlin.de . Please visit our
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research areas, with a focus on Applied Mathematics, Numerical Simulation, and various interdisciplinary projects. In line with our commitment to promoting gender equity in research, we are pleased to offer
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encouraged to apply. HAVE WE PIQUED YOUR INTEREST? To apply, please upload your application via our application portal . CONTACT Dr. Jiangfeng Ge +49 351 4646‑2133 https://www.cpfs.mpg.de/pet Max Planck
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questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information
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research team. The ideal candidate should have: A PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university; Prior
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will