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Programme? Other EU programme Reference Number S-636 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description European XFEL is an international non-profit company located
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of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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“Compartmentalized Cellular Networks in Neurovascular Diseases.” We welcome applications from candidates with expertise in either of two complementary profile tracks: Profile Track 1 – Computational Epigenomics
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Future. Discover. Together. The Wireless Communications and Networks department of the Fraunhofer Heinrich Hertz Institute participates in the development of new technologies for the next generation
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evaluation. We collaborate closely with other leading academic institutions (e.g., Harvard, UCSF, Johns Hopkins), global research networks (R2D2, Smart4TB), global health organisations such as WHO, and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 3 months ago
17 Jan 2026 Job Information Organisation/Company Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf Research Field Computer science Researcher Profile Recognised
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Profile Master’s degree (for PhD-level appointment) or PhD (postdoc-level), or equivalent expertise in epidemiology, biostatistics, applied mathematics, computer science, biomedical engineering, physics
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Qualifications / Experience: A PhD degree in physics, engineering, environmental sciences, or a related discipline, is required Knowledge and hands-on experience with atmospheric lidars or other atmospheric