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processes of the critical zone For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact Prof. Dr. Anja Klotzsche. Your Profile: Master’s degree in
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Biology * Immunology Biophysics * Neurobiology In vivo Imaging * High Resolution Optical Imaging and more. Applications for the PhD program can be submitted from 2 March to 1 May 2026. Projects start in
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fundamental and translational aspects of infectious disease (germfree/gnotobiotic animal facility, organoid cultures, T-cell engineering via CRISPR/Cas9 technology, in vivo imaging, animal models, microbiome
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 12 days ago
needs. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology, medicine, and the
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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27 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Medical Faculty Research Field Chemistry » Biochemistry Biological sciences » Biology Researcher
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. Given this, the CUI: Advanced Imaging of Matter Graduate School features an interdisciplinary research and training programme for doctoral students and post-doctoral researchers. It is addressed to young
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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning