80 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at Swansea University
Sort by
Refine Your Search
-
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
-
Administrator (maternity cover) to be at the heart of our administration office, leading day-to-day operations and taking responsibility for running and developing our key data systems. This role is central to
-
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
-
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
-
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...
-
world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance. About The Role The Mission: Building Intelligent Data
-
March 2027 working full-time. This is an exciting opportunity to support our information security programme. We are looking for someone to play an essential role in developing and co-ordinating our
-
, data collection and analysis, and project coordination. The postholder will work closely with academic colleagues, community partners and national stakeholders to support the design, implementation and
-
. This transdisciplinary data-linkage and biological sampling study aims to understand the effects of heat exposure during pregnancy, considering socio-demographic factors, housing qualities, and other environmental