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University Of Oxford, Department Of Engineering Science seeks a creative postdoctoral researcher to join the Turing AI World-Leading Fellowship. The role bridges theory and application of medical video and multimodal analysis and focuses on modelling medical procedures in real settings.
The appointee will develop video/multimodal models to analyse procedures, assess usability, and conduct quantitative and qualitative studies of performance, human factors and healthcare training contexts in
We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme lead by Professor Alison Noble. Topics in the research programme include single- and multi-modal video-based human-AI collaboration, federated learning for healthcare collaboration and partnership, and applied research to understand human skill in healthcare settings and AI to support healthcare professional skills training. The appointee will be a technical researcher joining the AI to understand human skills strand of the research programme. This post is focused on bridging theory and application of medical video/multimodal analysis and medical procedure modelling. The research will involve building video/multimodal models that can analyse medical procedures and evaluate how usable they are. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors assessment).
Postdoctoral Research Assistant in Multimodal Analysis to understand medical procedures. Oxford, Oxfordshire, GB