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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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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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Sciences are Turing fellows. The Erlangen programme offers excellent opportunities for collaboration with a large team of scientists interested in the foundational issues of Artificial Intelligence and Deep
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statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your