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move into and out of the brain. In various forms of dementia, disease processes affecting the cerebral vascular bed play an important role. Reduced blood flow, leakage of the blood-brain barrier and the
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applied to computer vision and image analysis. Analytical thinking and problem-structuring skills, including the ability to abstract complex systems, identify core research challenges, and develop
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of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB photography domain
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requires detailed imaging, beyond what is currently possible in humans in vivo. In an NWO-funded Vici project, we leverage Ultra-High Field MRI to bring the cerebellar mesoscale into view. In this PhD
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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the development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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understood. In particular, we need to know how the solid layer develops, how it affects heat and mass transfer, and how surface design can improve the efficiency of the process. As a PhD candidate in the
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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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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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using optical tweezers and confocal fluorescence imaging, building on previous work (O’Brien et al., Nat Comm 2024). Together with our collaborators, you will produce materials for these experiments and