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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
, advanced Imaging technologies, Immunological and toxicological assays) Experience with genetically encoded delivery vehicles Your Personal Qualifications Enthusiasm for applying molecular tools to solve
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self
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23.10.2025, Academic staff Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput generation
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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image the wider geothermal area around Strokkur to map the underlying magma reservoir and the shallow geothermal system. Here at the University of Potsdam, we will detect short-term and long-term
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation