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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images
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) models to extract clinically meaningful diagnoses, symptoms, signs, and disease durations linked to infections and post-infection syndromes including post-COVID. You will work with extensive real-world
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to develop monitoring and modelling tools
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, environmental systems modelling, industrial ecology. Understand biological and geologic carbon cycles and their chemical processes. Have a strong grounding in life cycle assessment and an interest in
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targets will then be investigated in obese animal models to dissect the underlying cellular mechanisms and test potential compounds that modulate microglial pathways, with the ultimate goal of developing
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complex socioeconomic, environmental, and molecular data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental
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recruiting a postdoctoral researcher in AI for fluid mechanics. This postdoc is part of an NWO-funded project on accelerating computational modelling of rarefied (i.e. highly dilute gases), which brings
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of functional glycans in situ and development of advanced infection model systems to study the role of functional receptors. These models will include (genetically engineered) stem cell-derived 2D and 3D
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of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
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investigates fundamental mechanisms regulating heart development and disease, with particular emphasis on how heart rhythm is established at the cellular and molecular levels. We use state-of-the-art model