66 computer-science-intern "https:" "https:" "https:" "https:" "U.S" research jobs at University of London
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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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qualitative work. About You Candidates should hold a PhD (or be close to completion) in a relevant discipline, such as epidemiology, social epidemiology, data science, or medical statistics. We are looking
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View All Vacancies Pathobiology & Population Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £35,311 to £40,528 Per Annum Including London Weighting Fixed Term / Part Time Closing Date
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Chris Drakeley’s group in the Department of Infection Biology (DIB) and the Faculty of Infectious and Tropical Diseases. DIB brings together pathogen molecular biology and immunology and infection
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, dentists and lawyers. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science
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or functional epigenomics. In addition, computational biology experience is essential for one of the positions and experience or interest in advanced experimental models is essential for the second role. A track
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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and Immigration website . Full-Time, Fixed-Term (until 31 August 2028) The Department of Computer Science is seeking a Postdoctoral Research Fellow for the Leverhulme-funded project “Social Mechanisms
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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AI with large-scale datasets, the post holder will drive biological discovery. The work involves developing sophisticated frameworks to bridge the gap between computational frameworks and clinical