255 phd-rehabilitation-engineering-computer-science positions at University of London
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access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI development
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Vitro Models. The project aims to use organ-on-a-chip technology combined with bioengineering approaches to develop, validate and use a suite of vascularised human tendon-chip models. These high quality
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assisting with postoperative rehabilitation of patients. Referral nursing experience is not required as full specialist training and support will be provided. This is a full-time fixed term position for 12
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Sciences. This is a unique opportunity for an individual with a keen interest in growing their research programme in one of the most inclusive universities in the UK. About You The successful candidate will
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Gareth Ackland, Dr John Prowle, Professor Zudin Puthucheary, Dr Tom Abbott, Clinical Lecturers, Research Fellows and PhD students. This post underpins the further development of a world leading research
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funded by UK Research and Innovation (UKRI), this programme is part of the government’s strategic effort to position the UK at the forefront of global AI expertise. Our goal is to train PhD researchers
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! Are you a highly skilled learning systems administrator with a passion for educational technology? We're looking for a dedicated and proactive Learning Systems Administrator to ensure the seamless operation
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. The group includes Professor Gareth Ackland, Dr John Prowle, Dr Zudin Puthucheary, Clinical Lecturers, Research Fellows and PhD students. This post underpins the further development of a world leading
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include