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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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, Nature Energy 2024] to image operating perovskite solar PV cells with high spatial (hundreds of nanometers) and temporal (hundreds of picoseconds) resolution. This project will push these capabilities
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical
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and temperature on overall mechanical response, and will have the opportunity to field high-speed imaging, digital image correlation, laser velocimetry, and related techniques to enhance the type and
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imaging, digital image correlation, laser velocimetry, and related techniques to enhance the type and level of detail extracted from these experiments. As part of this role, you will work closely with other
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ultrasound, Liposome drug delivery systems, in vivo imaging techniques, such magnetic resonance imaging (MRI) and near-infrared fluorescence (NIRF)/luminescence imaging. The candidate should have suitable
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty