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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | 5 days ago
18 Sep 2025 Job Information Organisation/Company The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence Research Field Physics Researcher Profile Recognised Researcher (R2) Positions
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Neuroscience (Prof. Katharina von Kriegstein) offers, subject to the availability of resources, a position as Research Associate / PhD student (m/f/x) (subject to personal qualification employees are remunerated
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to shaping the future. Are you interested in quantum-inspired imaging and would like to advance research and development in this field? Then we have an exciting position for you in our research group QmagiC
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Training Groups) and teach at both undergraduate and graduate level in Biology. The position offers the possibility to participate in various PhD programs at the RUB including the International Graduate
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of metastasis, by creating foundation models using routinely collected clinical data, including pathology images, radiology imaging, electronic health records, as well as multi-omics data. This position offers
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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Dynamic Systems offers a position as Research Associate / PhD Student in FPGA Design for AI Applications (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13
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and adaptability. This research project aims to pioneer the next generation of recommender systems by moving beyond static methods. The core of this PhD is to develop a generative multimodal recommender
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filled with a tenure track for the professorship to W2. If the evaluation is positive, the professorship will be filled in an appropriately simplified procedure without a new announcement. The specific
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms