11 mathematics-graph-theory Postdoctoral scholarships at Technical University of Munich in Germany
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Technical University of Munich, Centre for Mathematics Position ID: TUM -BWNUMMATH [#26301] Position Title: Position Type: Postdoctoral Position Location: Garching, Bayern 85748, Germany [map
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Numerical Mathematics (Chair of Prof. B. Wohlmuth) within the DFG funded SPP2311. Research focus: Biomedical simulations of cerebral aneurysms with Lattice Boltzmann methods. Field of Research: Multiphysics
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous research areas, with a focus on Applied Mathematics, Numerical Simulation, and various
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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-quantum cryptography and coded computing (1 postdoc, 1 PhD, Antonia Wachter-Zeh, antonia.wachter-zeh@tum.de) • Theory for communication systems beyond Shannon's approach (1 postdoc, 1 PhD, Christian Deppe
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
are searching for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning