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interactions with citizens. The position includes collaboration with researchers across multiple universities and international partners, and will involve empirical studies of AI use in public-sector
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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the fields of uncertainty quantification, data assimilation and optimisation under uncertainty, complementing data-driven approaches such as physics-informed machine learning. We will start by focusing
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