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experimental feedback. Building on Professor Ke Li’s established research programme, the role focuses on developing new AI methods for scientific discovery rather than simply applying existing approaches
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
Searches related to parallel computing numerical methods
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