181 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Oxford
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and chemical information, enabling deeper understanding
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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computational ecosystem, including shared codebases, data pipelines, computing resources, and public-facing research outputs (e.g. websites and repositories). They will collaborate across work packages and with
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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materials, gathering and analysing quantitative data, conducting systematic literature reviews, contributing to publications and conference presentations, and supporting the day-to-day administration of
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific