14 evolution "https:" "https:" Postdoctoral research jobs at Technical University of Munich
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highly qualified Postdoctoral Researcher (m/w/d) to support the DFG-funded Cluster of Excellence “TransforM – Munich Center for Transformative Technologies and Societal Change.” (https://transform
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development, support for additional training, help to build an outstanding publishing record, and opportunities to teach and (co)-supervise MA students. The project offers funding for conferences, fieldwork
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02.12.2025, Wissenschaftliches Personal As of now, we are looking to extend our team with a full-time Postdoc Position: Kinetic Mechanism Development of Low-GWP Fluorinated Refrigerants (m/f/d), TV
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dissect these mechanisms, as they reca-pitulate key aspects of embryonic development and tissue morphogenesis in vitro. The group of Prof. Bausch investigates the physical principles underlying
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samples, mock-ups, and in-situ data, and defining standardized metadata and interoperability formats. • Maintenance and development of the insiTUMlab data repository in MediaTUM. • Participate in and
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a unique opportunity to contribute to cutting-edge research on remote robotic control under network uncertainties, focusing on the development of fault-tolerant and adaptive control architectures
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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chemical functionalities. The prospects of porphyrin-based 1D, 2D, and 3D materials for device development will be assessed in collaboration with research partners from industry and academia. A key concept
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scientific work. After an orientation period, you will have the opportunity to take over the leadership of a team in the EV Lab. Your professional and private development is very important to us and will be
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures