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research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process
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agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and
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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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to understand how striated muscle is regulated during health, disease and stress-response contexts. The successful candidate will lead computational lab analysis work across multiple projects, largely focussing
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host of actin-binding proteins (ABPs) modulate the growth and stability of individual filaments or organise multiple filaments into various bundled and branched networks. This role will focus on a family
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candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic
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the growth and stability of individual filaments or organise multiple filaments into various bundled and branched networks. This role will focus on a family of actin-binding proteins that regulates the actin