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Field
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existing and develop new scientific techniques and experimental protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas
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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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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