50 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" uni jobs at Swansea University
Sort by
Refine Your Search
-
working full-time. Swansea University is seeking an experienced and strategic Programme Manager to lead the next phase of the DATAMIND Trusted Research Environment (TRE), a national platform supporting
-
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 This role sits within the Programme Management
-
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
-
are managed and future development opportunities for the Health Informatics group are realised. Utilising their skills range in ICT development the post holder will work extensively with existing and new
-
in close collaboration with project founder Dr. Marcos DelPozo-Banos. You own the technical roadmap, the architecture, and the execution. Extension potential: Our team has successfully secured ongoing
-
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
-
. The work of the post-holder will primarily involve students undertaking the pre-registration nursing programme, and will involve contributions to teaching for adult, child and mental health nursing students
-
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