530 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions in United Kingdom
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(https://doi.org/10.1242/jcs.180703) and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https://doi: 10.1038/ncomms11469 and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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. The role will be integrated with complementary cellular approaches in the group and will contribute core mechanistic insight to our broader research program. The group is newly established, and the selected
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United Kingdom Application Deadline 1 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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(https://kavlinano.ox.ac.uk/ ), a vibrant environment for interdisciplinary research at the interface of physical and biological sciences, and for technology development. The project focuses on elucidating
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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, PNAS 2020; Mazumder, eLife 2021; El Sayyed et al Mol Cell 2024). The group is also known for the development of the Nanoimager microscope and the founding of Oxford Nanoimaging ( https://oni.bio
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Parks Road, Oxford, OX1 3PJ We are seeking a full-time Postdoctoral Research Assistant in Computational Mechanics to join the Brassart Research Group at the Department of Engineering Science
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(IDH1/2) genes and this project focusses on how these mutations re-program liver cells, in the context of biliary cancer. We are using CRISPR-edited human cells and novel transgenic models in mice
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R