30 computer-science-intern-"https:"-"https:"-"https:" Postdoctoral positions at University of London
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biology in atherosclerosis. The project will combine patient-derived endothelial colony-forming cells with advanced coronary artery imaging from patients at Barts Health NHS Trust to identify individuals
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intelligence shapes welfare governance and migration management across Europe. The role is jointly based in the School of Society and the Environment and the School of Electronic Engineering and Computer Science
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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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**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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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary theory or cancer genetics. About the Institute The Barts Cancer Institute (BCI) is a Cancer Research
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polymers, foams and composites The role is highly hands‑on and creative: you will manufacture new polymer formulations, refine processing routes, and carry out mechanical, fracture, thermal and
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shape the experiences of migrants and the practices of welfare bureaucracies. The successful applicant will be based in the Department of Sociology, Politics and International Relations and will work
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radiative transfer, (radiation) hydrodynamics and photochemistry would all be strengths. Potential topics include modelling the interplay between internally and externally driven winds. The work will connect
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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