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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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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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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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opportunity to participate in clinical research within an established multidisciplinary team with a track record in undertaking trial-related medical imaging research which has led to several changes in
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and
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medical image analysis and natural language processing, with applications in cardiology within a global context. You will be responsible for the design and testing of bespoke AI models for cardiac imaging
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Klenerman in the Yusuf Hamied Department of Chemistry, from October 2025 for up to 2 years. This is a collaborative project with Professor Clare Bryant in Clinical medicine and aims to image and characterise