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: ausschreibung10-25@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11 37077 Göttingen
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(independently and in our team) involvement in teaching across different life science study programs at the Faculty of Medicine Required skills: Ph.D. (or comparable) in Bioinformatics, Computational Biology
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI
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of epithelial plasticity in kidney repair to contribute to the preparation of scientific publications, grant applications and presentations to contribute to teaching in Biomedical Sciences (Master programme
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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fundamental research and offers a comprehensive mentoring program and soft skills courses for doctoral and postdoctoral researchers Jena—City of Science: a young and lively town with a vibrant local cultural
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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, establishing new methods Writing publications on the topic and presenting at international conferences and meetings Your profile: Completed doctorate in natural sciences and enjoyment of basic and translational