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at University of Greifswald, Germany, in the group of Prof. Thomas Ihle. The position involves theoretical research on a number of topics within the field of active matter, for example, the impact of correlations
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responses. The position will be embedded within the research groups of Prof. Dr. Peer Fischer and Prof. Dr. Jochen Wittbrodt to combine engineering and biomedical expertise. The position is also embedded in
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
will be in the Marsh Group at Max Planck Institute for Biology (MPI) in collaboration with Prof. Ruth Ley (MPI), Dr. Bastian Molitor (University of Leipzig), and an international consortium. Marsh Group
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 6 days ago
). The MPG is an independent, non-profit research organization, which seeks to promote basic research in the service of the general public. The Division of Non-Thermal Astrophysics (Director: Prof. Dr. Jim
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program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access
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available in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in
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We are seeking a highly motivated and skilled Postdoctoral Researcher to join our interdisciplinary team in the Division of Translational Oncology headed by Prof. Julia Skokowa. Our laboratory is
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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synthetic microorganisms to detect and destroy bacterial and fungal pathogens selectively. SynThera consortium contains ten research groups and is coordinated by Prof. Dr. Kai Papenfort and Prof. Dr. Miriam
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted