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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | 30 days ago
talented researchers. The structured PhD training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. We offer An outstanding
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12 Sep 2025 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage
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1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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interests. The English-taught curriculum bridges the gap between disciplines such as biology, physics, computer science, psychology, psychiatry, neurology, genetics or philosophy during its four-year course
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light at the quantum limit, and on the other hand to apply this knowledge in order to develop novel spectroscopic tools for medicine, biology and industrial material characterisation. The advertised PhD
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
that allow the retina to successfully reconcile high energy demands with information processing capacity. We offer a structured PhD program with the opportunity to develop your individual skillset, intensive
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with modern state-of-the-art infrastructure access to international research networks dedicated and structured supervision comprehensive training and mentoring program free use of public transportation
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access to international research networks dedicated and structured supervision comprehensive training and mentoring program free use of public transportation in Hessen (“state ticket”) We actively support
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et