121 computer-science-intern-"https:" "https:" "https:" "https:" "University of St" positions at Swansea University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability. Where to apply Website https://www.swansea.ac.uk/postgraduate
-
infrastructure supporting large-scale health research. DATAMIND is funded through the Office for Life Sciences Mental Health Goals Programme and is currently funded until March 2030, providing a strong platform
-
evaluating a class of AI technology that enable expressive, individual and masterful interactions, like a virtuoso musician who channels all of their being - physical, mental, emotional and even spiritual
-
to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
-
. The ideal candidate should have background in one of the Machine Learning or Data Science domains with high motivation for upskilling and filling any gaps in their knowledge based on the requirements
-
Semiconductors are key enablers of virtually every aspect of modern society from smart phones and computers to energy generation, communications, AI, defence, transport and healthcare. Without
-
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
-
for, how you meet the requirements for that specific 'Population Science Data Intern - Project number' which you are applying for. Please note that no additional funding is available to cover accommodation
-
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
-
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