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studies on these interesting areas. The hired students/postdocs will work in an international group at the cross-cutting area between health applications, camera technology, business processes and AI. Your
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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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 | about 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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Junior Research Group (https://physics-of-life.tu-dresden.de/research/core-groups/yang ) seeks an independent, passionate, and motivated Postdoc to take on a novel and highly interdisciplinary project
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Targeted services for international employees, e.g. through our International Advisory Service Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office ( https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 2 months ago
tasks and coordination of collaboration projects Expertise with organoid cultures Expertise in advanced imaging techniques incl live-cell imaging If you fulfill all the requirements, you may be eligible
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with
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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