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structural biology, applying advanced methods to determine and analyse protein structures that underpin enzyme function and redesign. Generate and interpret structural data to inform and validate computational
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challenges in clean energy systems and advanced manufacturing. Demonstrated experience in experimental methods, computational modelling, or industrial collaboration, which will be highly valued. The successful
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Application Deadline 13 Nov 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 related to staff
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Deadline 17 Nov 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 related to staff position
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. The project includes a programme of dyadic studies. The start date is 2 February 2026 (negotiable). Key Responsibilities The post-holder will: Collaborate with investigators at the University of Southampton and
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. Demonstrated experience in experimental methods, computational modelling, or industrial collaboration, which will be highly valued. The successful applicant will demonstrate: Clear plans to build an ambitious
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Application Deadline 27 Nov 2025 - 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 related to staff
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Be part of the world-renowned WorldPop Research Programme at the University of Southampton (UoS), a global top 100 university (QS World Rankings 2021). WorldPop is a global, award winning, multi
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An exciting opportunity has arisen for a Research Fellow to work on a NIHR ARC Wessex adopted and NIHR PGfAR funded programme grant: Personalised social and self-management support for better living
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational