64 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" positions at Swansea University in United Kingdom
Sort by
Refine Your Search
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Large-scale wind turbines, specifically
-
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
-
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
-
This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare remains under-researched, particularly in areas like rare diseases, neonatal care, and chronic...
-
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
-
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
-
(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
-
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
-
in St. David’s Park, Carmarthen. The ability to drive the departmental van is therefore desirable. The team’s core hours are 8am to 4pm but there’s an expectation to work flexibly to support teaching
-
to undertake computing work at the cutting edge of Data Science. The post holder will be able to apply their skillset to advanced projects such as Cloud computing and enterprise architecture as well as work in a