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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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cell-based disease modelling, neuroscience and translational research. Through planned secondments, you will also gain experience with MLC animal models and computational chemistry approaches
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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organoids. Depending on your background and interests, the project can focus more on establishing and characterising these models or on the computational integration of multi-omics data. Both aspects will be
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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and characterising these models or on the computational integration of multi-omics data. Both aspects will be closely connected within the research team. The resulting biomarker panel will aim
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Deadline 5 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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generated nanobodies in vitro and in vivo, including their affinity, specificity, stability and modulatory effects. Investigating the biodistribution of nanobodies in in vivo models. Characterising