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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 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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and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their application to IDDO’s model. You
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research. It will leave a lasting legacy by enabling the creation of a new inter-disciplinary permanent learned society. CRANE will develop a rigorous community-led methodology and use it to identify
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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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Excellent written and verbal communication skills, including ability to maintain detailed records and present data clearly Ability to adapt to changing experimental demands and learn new techniques with
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research in the field of machine learning applied to deciphering the communication system of sperm whales. The post holder will collaborate with other partners of Project CETI (MIT, Harvard, UC Berkeley) and
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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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, and the wider MSc Taught Programmes Team. To be successful in this role, you will need to be highly organised, have previous administrative experience, and demonstrate strong computer skills. A positive
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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