11 processor "https:" "https:" "https:" "IFM" "IFM" positions at Swansea University in United Kingdom
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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and historical themes within the collection, and geographic and temporal range. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/history-heritage-s… Requirements
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Institute. The ideal candidate will have an outstanding engineering or related background, preferably with some experimental or practical experience. Where to apply Website https://www.swansea.ac.uk
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and encouraged for this application. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/engineering-epsrc-… Requirements Research FieldEngineeringEducation
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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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Associate Studies (MPAS) at Swansea University Medical School (https://www.swansea.ac.uk/postgraduate/taught/medicine/physician-associate-studies-mpas/ ). As a lecturer on the MPAS programme you will be
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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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of Nursing. Further details about the School of Health and Social Care and the Department of Nursing can be found on the following website: http://www.swansea.ac.uk/nursing/ Academic Career Pathway The pathway
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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