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of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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advancing image-guided precision irradiation and realistic disease modelling. As postdoctoral researcher, you will contribute to cutting-edge developments in preclinical CT imaging, precision irradiation, and
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animal research, imaging and radiotherapy who is interested in the application of X-ray activated anti-cancer nanohybrids Postdoctoral researcher in preclinical X-ray activated nanohybrid therapeutics Our
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. [4] Sivakumar et al., Phys. Rev. B 111, 075409 (2025), Influence of surface relaxations on scanning probe microscopy images of the charge density wave material 2H-NbSe2. [5] B. Kiraly et al., Nano Lett
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innovation come together. It focuses on imaging and image-guided interventions in areas such as oncology and cardiology. This strong collaboration enables a multidisciplinary approach, allowing research to be
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
., RNA/protein cargo analysis, advanced imaging, analytical chemistry). Experience with in vitro microbial cultures ((an)-aerobic), co-culture systems, and gut-mimicking models is advantageous. A motivated
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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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intelligence-based automated interpretation of medical images, and new knowledge on the human visual system into the screening mammography reading process. Combining these new capabilities and new knowledge has