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gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian
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to Dr Duo Chan. About You Given the interdisciplinary nature of the post, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science
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This project is an interdisciplinary project at the University of Southampton exploring how artificial intelligence (specifically LLMs) can enhance scientific research and data management
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Healthcare Digital Twins. This role offers an exciting opportunity to contribute to the fast-growing field of Artificial Medical Intelligence. The successful candidate will design and develop advanced AI/ML
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associated degrees in Computer Science, Artificial Intelligence and Computer Engineering. You will contribute to our international research profile through world-leading research, build your research team by