11 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions at Swansea University in United Kingdom
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performance decisions that are better informed by data and to make performance‑critical decisions with greater confidence and clarity. This is an applied data science collaboration between Swansea University’s
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, civil, and materials engineering. We welcome applicants with a background in: Computer Science Aerospace Engineering Civil Engineering Physics If you have a keen interest in AI, data science, or
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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
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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
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, this research seeks to produce AI-ready data creation techniques that will help establish scalable, globally relevant AI solutions and elevate paediatric healthcare to the standards seen in adult medicine
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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
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, 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.
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6 Jan 2026 Job Information Organisation/Company Swansea University Department Central Research Field Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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exceptional candidates and nurture them to become the next generation of leaders in health data science. The successful candidate will have opportunities to access, and contribute to, training activities
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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