28 structures "https:" "https:" "https:" "https:" "NOVA.id" positions at Swansea University
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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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full-time, one ending on 30th September 2029 and one Maternity cover until 30th April 2027. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world
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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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located offshore, present very specific technical challenges. Structural design and optimisation of performance in energy conversion are dependent on a correct estimation of the effects of flow, but scale
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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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, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability. Where to apply Website https://www.swansea.ac.uk/postgraduate
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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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structured datasets. These will support AI applications in paediatric care, enabling early detection of conditions and personalised treatment planning. A human-in-the-loop (HITL) approach will ensure clinical