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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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a strong and proven focus on publishing in international peer-reviewed journals and attracting competitive funding. An ability to work effectively in a young and dynamic research team that is
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project is to uncover how collective dynamics and signal-ing feedbacks drive robust pattern formation during early development. We apply advanced stem cell culture approaches, 3D organoid engineering, and
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established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics. (Please find a German version below the English text.) The Chair of Decision Sciences and Systems
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autonomy. ✅ High interest in cultural heritage applications. ________________________________________ Our Offer • Dynamic and interdisciplinary research environment bridging heritage science, materials
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power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https://mediatum.ub.tum.de/doc
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positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in static and dynamic 3D
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cooperatively allowing the entire organism to gain resistance to antibiotics even when only a fraction of its nuclei carries resistance to antibiotics. You will follow the cooperative and competitive dynamics
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solutions. [1] https://automata-tutor.model.in.tum.de/ [2] https://link.springer.com/chapter/10.1007%2F978-3-030-53291-8_1 Requirements: We are looking for highly motivated candidates who will fit our
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group A14, 100% Lateral leadership of a dynamic and committed team of approx. 10 PhD students Fixed-term full-time position for 3 years with option to extend Innovative research area with high societal