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Your position Magnetic resonance imaging (MRI), developed in the early 1970s, offers exceptional soft tissue sensitivity and has powered the astounding progress of medicine over the past fifty years
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. Specifically, we will enhance the spatial resolution of three complementary imaging modalities—diffusion-weighted MRI, arterial spin labeling (ASL) MRI, and light sheet microscopy—and integrate
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for MRI, this opportunity is for you. MRI is an incredibly powerful medical tool, but it is not used to its full capacity. Current MRI mostly uses the hydrogen nucleus, however, there are many other nuclei
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Job related to staff position within a Research Infrastructure? No Offer Description In this role, the primary responsibility is to develop and refine advanced MRI technologies aimed at understanding
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investigate analysis techniques to automatically extract 3D models of the eye and lens from MRI scans and optical coherence tomography (OCT) using deep learning techniques. To improve visualisation of critical
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of hardware for MRI, this opportunity is for you. MRI is an incredibly powerful medical tool, but it is not used to its full capacity. Current MRI mostly uses the hydrogen nucleus, however, there are many other
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. Specifically, we will enhance the spatial resolution of three complementary imaging modalities—diffusion-weighted MRI, arterial spin labeling (ASL) MRI, and light sheet microscopy—and integrate
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scientific/technical context This project aims to develop computational imaging methods for low-field MRI [Arnold2023, Hennig2023]. Its aim is to develop low-cost, portable neuroimaging systems that integrate