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Field
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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the European Research Council. The project explores the relationship between digital technology providers and European welfare states in the context of data-driven innovation. The candidate will oversee the work
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Monday 2 November 2026 and you must be available on this date, either by Teams or in person. Please do let us know if you require any more information. Many thanks for your assistance in advance.
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to [email protected] For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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with a strong focus on data driven models), they will also possess sufficient specialist knowledge in the discipline to work within established research programmes. Experience of supervising academic
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, confidentiality, information security and data governance. Applicants should hold, or be nearing completion of, a PhD in Criminology, Sociology, Victimology or a related discipline. They will have expertise in
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analysis of the project's qualitative and quantitative data. The role will involve contribution to the development of mixed-methods analytical strategies, syntesize findings based on data collected in
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Dencik and funded by an Advanced Grant from the European Research Council. The project explores the relationship between digital technology providers and European welfare states in the context of data