50 evolution "https:" "https:" "https:" "https:" "University of Bristol" Postdoctoral positions at Technical University of Munich in Germany
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talent development. The Terrestrial Ecology Research Group is part of the Department of Life Science Systems in the TUM School of Life Sciences and is based in Freising, Germany. We do fundamental research
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the cluster to engineer proteins for a broad range of biological and biomedical applications. The position combines scientific leadership, technology development, and facility management. Your Responsibilities
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13.03.2023, Academic staff We are looking for motivated students to work on the development and implementation of a cheap and scalable ceramic processing concept towards a fully sprayed Li-based
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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 actively supported. You are
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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. Your
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” (TV-L E13) (f/m/x) for the project "6G and Quantum Technology (6GQT)", which is being funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy. ). The gross monthly
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. The position combines scientific leadership, technology development, and facility management. Your responsibilities Scientific and operational leadership of the Bioanalytics Facility Development and optimization
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Chair of Biological Imaging 27.02.2026, Academic staff We are now seeking a highly qualified and motivated postdoctoral fellow (f/m/d) to drive the development of novel optical technologies
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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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(PD Dr. Keno Bressem) Your Responsibilities • Development and implementation of generative AI models (in particular diffusion models and variational approaches) for creating explainable patient