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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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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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pharmacokinetic models and signal analysis methods that turn nanobubble transport into a diagnostic biomarker. Information Prostate cancer is the most common cancer among men in the Netherlands, and its diagnosis
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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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Can you help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid
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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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children within authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models 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