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more frequent and intense extreme rainfall events, creating serious challenges for flood risk management across the UK. Current rainfall datasets are not fit for purpose: radar estimates can be
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response to everyday violence. As it investigates the complex connections between cultural products and the societies that produce them, it develops a model of engagement that deploys such cultural products
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towns and cities as flood peaks, known as Natural Flood Management (NFM). Most research on NFM centered on hydrological modelling and its effectiveness in reducing flood peaks at varying spatial scales
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, fairness). Provenance and integrity of machine learning pipelines. Generative content authenticity. Cyber-physical machine learning systems. Scalability of properties from small to large models. In
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
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environment. Join us in shaping the future! The position is part of Profi 8 research “Transformation of urban systems” funded by the Research Council of Finland. The work aims at modeling carbon flows
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tools and models of integrated health and social care. The successful Research Assistant will support the team and co-develop a PhD project within the remit of the workstream. Research priorities and