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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) - Organelle Biology and Proteomics in
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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will Gain World-class training in stem-cell differentiation, retinal organoid engineering, vascular biology, and advanced imaging/omics.nei.nih+1 Transnational mobility and secondments across the Pandora
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the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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engineering, energy engineering, engineering physics, or related discipline, as well as a keen interest in computational modelling and multiphysics analysis. You should be motivated to pursue fundamental and
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Engineering, Electrical Engineering, Medical Imaging, Applied Physics, Computer Science, or a related field. Strong affinity with ultrasound imaging, signal processing, medical image analysis, or computational
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development