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United Kingdom Application Deadline 31 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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complex ideas, concepts and data using appropriate methods and packages To resolve issues and support colleagues in devising procedures required to ensure accurate and timely reporting To generate research
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renewable award. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of approaches including targeted genetic murine models, primary cell
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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shelves, the breakup of which can speed up flow of grounded ice and affect global sea level, and on the highly specialised Antarctic biodiversity. This ambitious programme brings together leading UK (BAS
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The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project ( ). The project is funded by the ERC and began in 2023. It is led...
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programme grant with partners across the UK to facilitate the use of hydrogen for aviation, and in particular the icing vulnerability of heat exchangers and parts of the airframe. You will work to generate
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39 Faculty of Computer Science Startdate: 07.09.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 07.07.2026 Reference no.: 4408 The position
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to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led