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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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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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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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in preventing immune-mediated pathology in autoimmunity remains poorly understood. Using genetic and antibody-based targeting, we aim to dissect how these pathways modulate T-cell signalling
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, biochemistry, cell-based and model organism. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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Haematology Unit. You will use state-of-the-art genetic tools and functional genomics to generate and characterize models of CH and ageing, including the role of the bone marrow microenvironment in
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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measuring a molecule’s size and shape in the solution phase (Science 2025). Our microchip-based escape-time technology platform now enables measurements of the physical properties of macromolecules such as
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(approximately 3–6 months) based at the CMB in France, before continuing the remainder of the role in Oxford. This full-time fixed-term post is funded for up to 3 years in the first instance. The postholder will