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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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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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the fields of Applied Mathematics/Fluid Mechanics/Computer Science/Robotics and Control, or other related fields. 3) Passion and commitment towards scientific research; Good communication skills and ability
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the fields of Applied Mathematics/Fluid Mechanics/Computer Science/Robotics and Control, or other related fields. 3) Passion and commitment towards scientific research; Good communication skills and ability
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physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
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in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU compute facilities
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systems), Mathematical biology (Dynamics of ecosystems, Animal movement, Epidemic processes, Forest fires, Biological evolution, Modeling based on Machine Learning and Neural Networks), Socio-economic