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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision
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(Python preferably) for medical imaging processing and machine learning. You are flexible, pro-active and an adaptable team worker. This is a full time, fixed term post (part time considered) for 12 months
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those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful. You
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The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal. In
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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term until 30 September 2026 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular
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An exciting opportunity has arisen for a talented postdoctoral researcher to join the Oxford Machine Learning in Neuroimaging (OMNI) lab, led by Professor Ana Namburete, in collaboration with
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highly computer literate, with demonstrable experience in using common software applications e.g. MS Word, Excel, Outlook, Adobe Acrobat, and have the ability to learn quickly and use specialist software