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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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for the collection of clinical samples You will have a knowledge and abide by conditions of the ethical approvals obtained in relation to this programme of work To work closely with other team members and maintain
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problem-solving skills and deep expertise in the development of complex computational models. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. The
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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educational offerings. You will hold a PhD (for Research Associate level), or a Master’s degree (or equivalent) with prior research/industrial experience (for Research Assistant level) in health sciences
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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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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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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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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
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, statistics, sleep medicine, and artificial intelligence, for example. A very significant and specific benefit we can offer is the option for to complete a PhD in the 36-months, if you wish . The opportunity