49 postdoc-computational-fluid-dynamics PhD positions at Technical University of Munich
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of results in peer-reviewed journals and presentation at international conferences. Requirements: Above average Master’s degree in engineering, applied mathematics, physics or computational science Good
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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
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, our group is actively involved in the Research Training Group "Targets in Toxicology", a structured Ph.D. program that unites 13 research partners in Munich, including LMU Munich, Helmholtz Zentrum
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm
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19 Feb 2025 Job Information Organisation/Company Technical University of Munich Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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distinguish you both professionally and personally. • You have obtained very good diploma or master’s degree in forest sciences, economics, environmental science, geo-information science, landscape ecology
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to Biodiversity Exploratories, a renowned large scale experiment maintained by a large group of internationally renowned scientists, associated PhD students and Postdocs. • Free access to transferable skill and
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture