111 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Swansea University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
physics proposal for the extension of the Standard Model. The target theory and observables will be identified together with the candidate, depending on their specific skill sets and research interests, and
-
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 Within the Population Data Science group
-
16 Jan 2026 Job Information Organisation/Company Swansea University Department Central Research Field Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions PhD
-
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
-
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
-
, particularly across the continent of Africa. Together, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability.
-
Contribute to the day-to-day management and continual improvement of our Actuarial Science programmes, maintain the alignment between the programme structure and the IFoA Core Principles syllabus. Engage with
-
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