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We are seeking a full-time Postdoctoral Research Assistant to join the Geotechnical research group at the Department of Engineering Science (central Oxford). The post is funded by the US Army and
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neuroscience, cardiovascular neurophysiology, and neural computation. Researchers have access to state of the art facilities (https://www.ucl.ac.uk/science-technology-platforms/) and the department has close
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the above ‘Apply’ button). Further details are available at https://www.trin.cam.ac.uk/hr/vacancies/ The deadline for applications is 23.59 (GMT) on Thursday 15 January 2026. Interviews are expected to be
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commitment to supporting and advancing equality and inclusion in the Life Sciences. Closing Date: 24 Nov 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad
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in the Department of Society and Politics, in the School of Law and Social Sciences, at Aston University, one of the country’s leading universities for science, technology and enterprise. This is an
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at King's, which brings together a unique range of internationally recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About
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constraints on fuel scale-up and development of plausible scenarios for maritime fuel scale-up and associated impacts. As the successful candidate you will require experience of quantitative engineering
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British Institute of International and Comparative Law; | London, England | United Kingdom | about 1 month ago
about BIICL and the Bingham Centre at http://www.biicl.org . We welcome applications regardless of race, sex, disability, religion/belief, sexual orientation or age. It is expected that interviews will
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widely with the rest of the Astronomy Group and the LSST (DESC, TVS) and 4MOST/TiDES international collaborations. As part of this work, funded by the Science and Technology Facilities Council and working
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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