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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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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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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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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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bioluminescent imaging with cutting-edge organ-on-chip models, the project aspires to enhance understanding of OA pathology and facilitate the development of targeted therapies. This approach not only aims
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Vacancies Postdoctoral position: A CARtilage on CHIP model for precision medicine in osteoarthritis (CARCHIP) Key takeaways CARCHIP will combine the expertise of the University of Twente (UTwente
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Novel Broadband (Visible-to-Shortwave Infrared) CMOS Image Sensor Pixel Architectures Job description The Image Sensor Group in the EIectronic Instrumentation Lab is looking for a postdoctoral
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to apply Website https://www.academictransfer.com/en/jobs/355820/postdoctoral-position-artemis-a… Requirements Specific Requirements Hold a PhD-degree in Biomedical Engineering, or an equivalent field
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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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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