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trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine
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workshops. 10. Ability to liaise with a range of stakeholders. 11. Willingness and ability to learn practical and theoretical knowledge about echolocation. Desirable Criteria: 12. A MSC or PhD (or be
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team, which as of January 2026 comprises two PDRAs, three PhD students and two MChem students, with three different nationalities. We work on ligand design and synthesis, transition-metal catalysis
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ecology that challenges Western narratives and explores alternative ways of thinking and living with weeds by learning from traditional knowledges in their places of origin; a multispecies geography that
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Consortium and host extensive supercomputing resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http