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network adaptation is crucial for optimal perfusion. In self-organizing life forms, network morphology constantly adapts in response to environmental stimuli towards more homogeneous distribu-tion of flow
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written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills High motivation to take on responsibility and to contribute to the development of research
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written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills High motivation to take on responsibility and to contribute to the development of research
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Degree PhD in Health Data Sciences Course location Berlin In cooperation with QUEST Center for Responsible Research, Berlin Institute of Health Charité – University Medicine Berlin, Institute
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environment. The IMPRS-BI steering board is composed of six elected representatives of the faculty and two elected representatives of the doctoral students. The board is responsible for the general management
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 12 hours ago
molecules involved in these processes. We utilise our findings to develop new diagnostic methods and anti-infectives based on natural products. The ILRS PhD projects try to answer these intriguing questions
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researchers and to provide you with every possibility for networking. Training: Personalised and Responsive Close personal supervision by three professors Individual and flexible course programme Methodological
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27.03.2023, Wissenschaftliches Personal As a research assistant you will be responsible for the coordination and technical conduction of a 3-year research project, aimed at the experimental
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for the position, a CV, degree certificates, and a writing sample, and name two people as references whom we could contact. Please submit all documents in one PDF-File by 20 April 2025 by e-mail with the subject
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially