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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
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a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge. The post is a full-time, fixed term position
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or Research Associate will work in close collaboration with the project team at the University of Manchester, consisting of PI Aristea Koukiadaki, Dr Riza Theresa Batista-Navarro, four more postdoctoral
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of Liverpool. The successful applicant will work primarily with the UK PI Dr Richard Brown (Durham) and Co-I Prof Paul Brennan (UCL), Co-I Prof Patrice Carbonneau (Durham), and Co-I Dr Silvio de Angelis, and
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=pubdate&size=200 ) for publications from the PI in this and related fields. The post is fixed term for 36 months, and the successful candidate will be working with Prof Martin Cann (PI; Dept of Biosciences
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. the PI, Prof Alan Stein, is a staff member of the Blavatnik School of Government) in Oxford and beyond (e.g. UNICEF). Hybrid (combination of on-site and remote) working approach for this full-time post is
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or Research Associate will work in close collaboration with the project team at the University of Manchester, consisting of PI Aristea Koukiadaki, Dr Riza Theresa Batista-Navarro, four more postdoctoral
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to writing funding bids as and if appropriate, e.g. by generating preliminary data for funding bids by the PI. Contribute to licensing or spin out deals with demonstrated commercial success (such as IP