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undertake a mixture of experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when
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fine-scale, fully distributed hydrological modelling, with the ultimate goal of optimising NFM strategies in moorland, to improve flood resilience for rural, upland communities. The studentship will be
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Large Language Models (LLMs) are reshaping how we interact with language technologies, yet many questions remain about what these models actually “know” about language. The University of Exeter is
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an increase in associated natural hazards. Across HMA there has been vegetation expansion in alpine vegetation communities as glaciers melt; and our previous studies show a potentially wide range of
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will be on extracellular vesicles (EVs)—tiny particles released by cells that play an essential role in communication. Studying EVs will help us understand: How brain cells respond to genetic changes
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms