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: Completed PhD: You hold a PhD in stem cell biology, molecular and cell biology, biomedical engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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establishing the institute Writing of third-party funding grants and support thereof Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline
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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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at internal and external meetings. Successful applicants: had a completed university degree (e.g. master, diploma) in biology, neurobiology, biophysics, physics or engineering and already hold or will complete
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects of an academic setting and a research
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] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: 2025/09/30 11:59PM Position Description The TUM School of Computation, Information and Technology
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experience in one or more of the following: tumor immunology, cell therapy, immune metabolism or genetic engineering Experience with in vivo models and FELASA B/C certification is a plus Highly motivated, team
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across