38 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" research jobs at University of London
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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, and functional genomics. The Biology Department hosts its own genomic facility and has recently developed a Research Centre on the theme: The Centre for Evolutionary and Functional Genomics (https
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project. Project website here: https://generationsoflondonenglish.org/ . The post-holder will undertake research activities to support the ongoing acoustic analysis of a large child speech dataset, and the
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
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. The salary will be Grade 4/25 – 4/26 at £38,419 - £39,022 per annum, inclusive of London Allowance. Informal enquiries should be addressed to Professor Alastair Noyce at Dr Eduardo de Pablo-Fernández
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behaviour observed in laboratory studies. You will work closely with Professor Kostas Stathis (Department of Computer Science, Co-Investigator) and Professor David Levine (Leverhulme Fellow and Principal
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Mary University of London and will work under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in Sweden, undertaking interviews and participant observation
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surgical procedures. The project is led by Professor Kaspar Althoefer within the Centre for Advanced Robotics @ Queen Mary (ARQ), a hub for robotics innovation and interdisciplinary collaboration. About
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under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in the Netherlands, undertaking interviews and participant observation to trace how welfare algorithms