74 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" positions at Swansea University
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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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through the EU Research Framework Programme? Not funded by a EU programme Reference Number RS904 Is the Job related to staff position within a Research Infrastructure? No Offer Description ALL-WALES
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, physics, data analysis, computation. Selection process Please see our website for further information. Website for additional job details https://www.swansea.ac.uk/postgraduate/scholarships/research
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December 2028 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
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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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practices (i.e. two practices during the programme). Practices are appraised by the Programme Directors before and after a Fellow is placed there and potential placements will be discussed with the successful
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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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nature based solutions). The project’s Team convening principles are set out https://www.liverpool.ac.uk/researcher/what-is-thrive/ ) which will be adopted and adapted by our co-leaders and collaborators
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working 21 hours per week. A Senior Lecturer with expertise in Pharmacy Practice is being sought to support the expansion of the MPharm programme and to help fully prepare graduates for their expanding
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high