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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
offered a position later. Additional comments Application Process All applications must be submitted via the online portal no later than 30 November 2025: https://oc10.meduniwien.ac.at/open-phd-positions
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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gut hormone receptor drug discovery programme. The successful candidate will help lead on in vitro pharmacology and in vivo testing and will also be involved in peptide ligand design process alongside
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, and neuroscience, and access to advanced resources such as imaging cores, iPSC-derived systems, and AI-driven tissue analytics. Responsibilities: • Design and Execute Experiments Using Mouse Models
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning
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and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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– Resolution of appeals 16.01.2026 – 4:00 PM – Final results Additional comments We are seeking a PhD student in Machine and Deep Learning for Satellite Image Processing to join our team, who will be
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-of-the-art infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre). Being part of a rapidly evolving