27 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Swansea University
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
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working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
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working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
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working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
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(https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/X037886/1 ), led by Gil Alexandrowicz, studying the interaction potential between hydrogen molecules and a surface. The MMI beam line has the
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working 14 hours a week. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
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& Engineering on the Bay Campus, using equipment and facilities within the Institute of Structural Materials (ISM), the Engineering North facilities (MACH1) and the Pilot Manufacturing Research Centre (PMRC) in
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balance research funded by the BBSRC until 30th April 2029 The postholder will contribute to exciting experimental research investigating the structure and function of the cupulae of the lateral line
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environment, providing insight into structured project governance and delivery practices, alongside experience supporting a large-scale funded research programme and working with partners across the UK.. This
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technology leader Thales, to strengthen the cyber resilience of interconnected systems, including those in transport. Backed by £1 million in funding from the EPSRC Prosperity Partnership part of UK Research