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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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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
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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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Welcome to Maastricht University! We are looking for a highly motivated candidate with a background in preclinical animal research, imaging and radiotherapy who is interested in the application of X
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Vacancies Postdoc Position: Multi-Modal AI for Early Detection of Liver Cancer Key takeaways You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and