28 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of London
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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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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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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About the Role Our research interests lie in understanding the effects of the tumour microenvironment on metastasis formation. This project intersects cancer biology and immunology and will
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, and functional genomics. The Biology Department hosts its own genomic facility and has recently developed a Research Centre on the theme: The Centre for Evolutionary and Functional Genomics (https
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project. Project website here: https://generationsoflondonenglish.org/ . The post-holder will undertake research activities to support the ongoing acoustic analysis of a large child speech dataset, and the
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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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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