31 associate-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at University of London
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About the Role Applications are invited for a 30 month Postdoctoral Research Associate to join DigiWeB (Digital Welfare Borders), a European Research Council funded, multicountry project examining
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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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View All Vacancies Comparative Biomedical Sciences Location: Camden (King's Cross, London) Salary: £40,528 to £51,470 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59 hours BST on Friday 01 May 2026 Interview Date: Monday 11 May 2026 Reference: CBS-0054-26 Are...
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**Internal Only** About the Role We are seeking a highly motivated and talented Postdoctoral Research Associate to join an interdisciplinary research programme investigating genetic and molecular
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clinical trial testing an evolution-informed approach to cancer drug therapy. ACTOv was directly informed by discoveries made in the Lockley lab. Prof Lockley has recently been awarded a Programme Foundation
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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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About the Role Applications are invited for a Postdoctoral Research Associate to join DigiWeB (Digital Welfare Borders), a European Research Council funded, multicountry project examining how
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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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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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significant scope for scientific creativity. You will have opportunities to publish in high‑impact journals, develop new modelling methodologies, work with high‑performance computing resources, and contribute