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Field
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2026/2027, subject to obtaining ministerial accreditation pursuant to Ministerial Decree 226/2021. Where to apply Website https://unifg.esse3.cineca.it/Home.do Requirements Research FieldBiological
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is based in Peter Svensson’s research group at the Department of Medicine, Huddinge (MedH), Karolinska Institutet, in the Centre for Infectious Medicine (CIM). We study the HIV reservoir, especially
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international research community! Founded in 2007, GGNB is a joint enterprise between four faculties of the University of Göttingen (Biology, Chemistry, Medicine, and Physics), the Max Planck Institutes
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, medical imaging, robotics, and translational medicine. Profile We are looking for highly motivated and creative researchers who enjoy solving challenging interdisciplinary problems. Applicants should hold a
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via application tool Please check the website: https://www.med.lmu.de/en/doctorate/from-a-to-z-your-guide-to-your-degree/ph.d.-medical-research/core-areas-and-research-training-groups/oral-science-ph.d
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
Genomics (https://www.translatum.tum.de/translatum/forschungsgruppen/rad-roland-experimentelle-krebsgenetik/ ) at the DKTK partner site Munich, we are seeking the earliest possible start date for a PhD
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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of Medicine and Optometry has 24 members of staff and conducts research and teaching in e-health, medicine and optometry. The department is home to the eHealth Institute , a dynamic, interdisciplinary knowledge
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DDLS industrial PhD position We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics. To be a doctoral student means to
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, health and medicine, logistics, infrastructure, and industrial operations. The PhD project will focus on the intersection of machine learning, causal inference, and classical statistical methods. A central