23 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs at University of London
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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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consists of two academics, two senior physicists, two postdoctoral research associates (PDRAs), one technician, and one engineer. The ITk Group collaborates closely with the rest of the Particle Physics
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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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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Doctoral Research Associate into the EPSRC programme grant “Total Body Nuclear Imaging for the Development of Nanotheranostics”. This Programme involves 15 co-investigators across 3 universities (Kings
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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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, including Professors Christos Bourantas and Francesca Pugliese, alongside basic scientists at the Institute and a clinical fellow within the same BHF programme. The role offers the chance to develop expertise
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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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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