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-of-the-art laboratories where engineers, scientists and healthcare experts work together to develop new medical technologies to solve some of the most urgent and challenging problems in healthcare. The Centre
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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an interdisciplinary community of neurobiologists, engineers and computational scientists. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further
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. The postdoctoral researcher will join the Department of Engineering Science at the Old Road Campus Research Building, with Professor Jens Rittscher as line manager. The role involves coordinating work with Simon
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. The postdoctoral researcher will join the Department of Engineering Science at the Old Road Campus Research Building, with Professor Jens Rittscher as line manager. The role involves coordinating work with Simon
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development of open-source tools for the hearing healthcare community. About you You should have a PhD in computer science, biomedical engineering, or a related field with strong expertise in medical image
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly