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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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to learn and develop new experimental, computational and wet-lab techniques and approaches. • Identify genetic reagents and design experiments that test circuit function. • Construct
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are seeking a Research Assistant to join a team working at the intersection of medical imaging and machine learning at the University of Oxford. This is an exciting opportunity to work across disciplines
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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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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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June 2026 subject to funding partner decision. The project will focus on scaling-up development our computer vision software for quantitative microscopy, Deep Learning for Time-lapse Analysis (DeLTA
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Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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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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and motivated candidates for a postdoctoral positions working on cutting-edge research at the intersection of Machine Learning, Privacy-Enhancing Technologies, and Public Interest Technology. We