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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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accent change in large-scale real-time data from multiple generations in London, testing predictions of language contact and sociolinguistic theory, analysing the repertoires and play interactions of young
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