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Applicants are invited to apply for a new vacancy at Research Assistant level in Surgical Vision and AI for intraoperative surgical navigation and computer-assisted diagnosis. The post is based
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care medicine collaborating with multiple specialities and funders. Furthermore, you will be expected to develop a nationally leading programme of research that will have excellent synergy with
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documenting your findings as you exploit the dataset. During the project you will be working closely with Prof Brindley and her team, liaising with CLEFCC colleagues throughout the duration of the post. A PhD
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to drive and support projects, co-lead collaborative teams, and engage in co-supervision of Master and PhD level students. We are looking for candidates who can thrive in this dynamic and creative
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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to execution, and contribute to the co-supervision of Master’s and PhD students. We are seeking candidates who will thrive in a fast-paced, innovative, and collaborative environment. Beyond your core research
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publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in Materials Science, Engineering, or other closely related field. Also
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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will work alongside academics specializing in engineering and social sciences and practitioners who are developing and implementing cutting-edge methodologies. 1. A PhD in Electrical Engineering or a
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benefit we can offer is the option for to complete a PhD in the 36-months, if you wish. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science