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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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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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2024 The 2024 Christiaan Huygens Science Prize was awarded to Jan-Willem van Ittersum, a postdoctoral researcher at the University of Cologne. The presentation ceremony took place at the Oude Kerk in
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” (https://vr4evr.nl ), a collaboration of four universities and a rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and
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://www.academictransfer.com/en/jobs/355391/postdoctoral-researcher-machine… Requirements Specific Requirements You hold a PhD degree in Computer Science, Data Science, Biomedical Engineering, or a closely related field, with a
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Postdoctoral researcher Open innovation in the Healthcare domain Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 32 to 40 Application deadline
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imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification
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Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter