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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | 3 months ago
23 Jan 2026 Job Information Organisation/Company The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence Research Field Physics Researcher Profile First Stage Researcher (R1) Positions
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learn microinterventions, such as taking blood samples from specific vessels of mice. Experience and FELASA-B certificates are an advantage. MS Office skills; experience with image processing software is
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-funded DECIPHER-M consortium (9 partners, €9M), we are building multimodal foundation models that integrate imaging, text, and structured clinical data to predict metastasis risk and identify tumor origin
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. For the development of the Photospheric Magnetic Field Imager PMI for the ESA’s Vigil mission , the institute is looking for a
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are already routinely used. E.g. AI-assisted medical image analysis of CT or MRI images helps to improve the diagnosis and efficiency of medical treatments . Also in material science increasingly AI-based tools
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advance interdisciplinary research on imaging of the brain in neurological diseases (with a focus on epileptology) in close collaboration with the department for neuroradiology. Solid expertise in the field
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Would you like to gain experience in a modern and professional team and learn firsthand how research and development in the field of computational imaging works? Then you've come to the right place
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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of nanomechanical resonators using COMSOL and MEEP Development and operation of laser-interferometric setups under ultra-high vacuum (UHV) and cryogenic conditions for the characterization of nanomechanical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 25 days ago
measurements. Implement physics-informed machine learning models to predict mechanical properties from cell morphology. Collaborate closely with experimental teams to integrate transcriptomic and imaging data