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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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of RNA therapeutics for the brain. The successful candidate will work at the interface of molecular biology, cell models of the blood–brain barrier, and advanced human in vitro systems such as induced
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work at the interface of molecular biology, cell models of the blood–brain barrier, and advanced human in vitro systems such as induced pluripotent stem cell (iPSC)-derived cultures and organoids. A key
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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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aging-associated mechanisms and the development of RNA therapeutics for the brain. The successful candidate will work at the interface of molecular biology, cell models of the blood–brain barrier, and
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Molecular and Cellular Neurobiology (MCN) . Recent studies have shown that in addition to neurons, glial cells play a major role in synaptic function. As yet, it is unclear what the molecular mechanisms
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into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will develop and validate advanced AI models that integrate medical
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for modeling temporal dynamics in longitudinal imaging and omics data. You will also develop explainable AI (XAI) techniques to link imaging features and molecular markers to clinically meaningful outcomes