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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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to computer vision, particularly in the context of medical imaging. Some clinical experience is desirable, including interaction with patients. This is a full-time post, and you will be offered a fixed term
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imaging, electrocardiogram (ECG) and electronic health record (EHR) data to improve diagnosis, management and outcomes of heart failure. About You You will have either a PhD in the relevant subject (e.g. in
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://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield). The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health
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://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield). The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health
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processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice.Our research focuses on four main
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transition: predicting and preventing negative outcomes (ART-transition) study, and the EU-funded project, ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA
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, funded by an internal MRC Impact Acceleration Award, we will use currently-collected patient imaging data to further develop computational pipelines to reconstruct personalised image-based computer models
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cardiometabolic risk factors and medication adherence (ART-CARMA). The ART-transition study will involve remotely monitoring 250 young people with ADHD over a two-year continuous assessment period, using both
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transition: predicting and preventing negative outcomes (ART-transition) study, and the EU-funded project, ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA