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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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in different healthcare domains in our “AI Safety Test Bench” Coordination with our project partners the position is limited to 3 years Your Profile PhD degree in computer science or a related field
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: MPIDS-W085 Job Offer from June 16, 2025 We seek to fill a postdoctoral position in the research group on Small-scale Dynamics in Turbulence led by Dr. Florencia Falkinhoff, in collaboration with Dr. Mohsen Bagheri and Prof. Dr. Eberhard Bodenschatz. We are an international research...
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: Analysis and Geometry Appl Deadline: 2025/07/13 11:59PM (posted 2025/06/06, listed until 2025/08/25) Position Description: Apply Position Description In the Faculty of Faculty of Computer
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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, alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math
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programme. What will be your tasks? The position focuses on the co-design and co-development of a monitoring assessment and policy framework for mitigating changes in marine lightscapes. You will be part of a
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, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning