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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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for an independent post-doc, with multi-stakeholder project experience, to develop state-of-the-art, transdisciplinary, inclusive design frameworks, and support in daily management of a large multistakeholder research
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independently and collaboratively in a complex, multi-stakeholder environment but with a good team spirit, excellent organisational skills and a commitment to interdisciplinary research; excellent communication
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-term outcomes, EVAR-patients have an increased long-term risk of complications and reinterventions. This requires life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning