24 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"EURAXESS" Postdoctoral positions at University of London
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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Research Assistant or Postdoctoral Research Associate About the Role This position will undertake research to realise the objectives and development of the InnovateUK-funded project into “AI-Powered
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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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and Immigration website . Full-Time, Fixed-Term (48 months) Applications are invited for a 4-year, full-time Postdoctoral Research Assistant position in the Department of Psychology at Royal Holloway
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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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About the role This role supports a multidisciplinary programme investigating the role of the Maresins, a family of pro-resolving lipid mediators, in early cancer development. You will process
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systems. You’ll then help bridge the gap between atomistic insight and macroscale behaviour, collaborating closely with experimental researchers to validate and refine your models. This role offers
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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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About the Role The appointed individual will conduct research in collaboration with, and under the supervision of, Dr Karine Rizzoti, contributing to a research programme investigating the dual
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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