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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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paradigms, neural circuit mapping, advanced genetics and two-photon calcium imaging to uncover how the brain selects between conflicting drives, and how these choices vary by context, internal state, and sex
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Desirable: An understanding of genetic modification in laboratory animals Basic understanding/use of standard imaging techniques Some experience of gene expression analysis, histology techniques or microscopy
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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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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
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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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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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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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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