33 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of London
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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capable of learning online from new data. Both low- and high-frequency data analysis will be considered. About You The successful postholder will have or is soon to complete a PhD degree in Statistics
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer
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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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The University of London The University of London is both the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 renowned higher education
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About the Role Join the Green-Loop project, a £1.3M UKRI-EPSRC and DEFRA-funded programme addressing solar panel waste. By 2030, the UK will generate approximately 1 million tons of decommissioned
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You will have a PhD in a relevant subject area for the research programme. You will have knowledge and/or experience of European politics, which may include political parties, political actors and
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have a strong research track record working in this area. About You Candidates must have a PhD in relativistic cosmology or a closely related subject, and have a demonstrable track record in working in