22 professor-computer "https:" "https:" "https:" "https:" "https:" "Brunel University London" Postdoctoral research jobs at University of London
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About the Role We seek a Postdoctoral Research Associate to contribute to the delivery of the precision medicine translational program of research in autoimmune rheumatic diseases at Queen Mary
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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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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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international networks, close links to museums and heritage organisations, and an active programme of seminars, workshops, and public events. The post will also require significant amount of time spent
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on Digesting Science, co-designing a schools programme with drama practitioners, teachers, children and families affected by Multiple Sclerosis, developing and testing participatory activities, prototypes and
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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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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad