281 phd-rehabilitation-engineering-computer-science positions at University of London
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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to classify unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD/MSc degree from Computer Science with research
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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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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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clinical applications, and improving 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
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Innovation team. Do you have experience of supporting R&D and supporting technology transfer? Does cutting-edge innovation that enables world-leading researchers and creative industry partners to work together
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mitigations for people living with frailty, with long term conditions and multimorbidity. Leading edge rehabilitation and the recovery of older people following life changing trauma and illness. Cognition and
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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About the Role We are looking for a Postdoctoral Research Assistant to work with Dr Chema Martin on a Human Frontiers Science Program Research Grant project entitled “Evolutionary Biophysics