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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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powerful general purpose intelligent systems, as the “brains” of an agent. We aim to revisit the question of agent design, where LLMs provide NLP interfaces and reasoning capabilities for agents. Our work
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part in designing, organising, and administering a panel data collection in English secondary schools and bring your own research interests and expertise into the project. The initial phase
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, as the “brains” of an agent. We aim to revisit the question of agent design, where LLMs provide NLP interfaces and reasoning capabilities for agents. Our work will be informed by four decades of agent
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research projects, contributing to publications, and fostering innovation within the department. This position also involves collaboration with faculty and central services to ensure a supportive and
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play a key role in supporting and delivering high-quality research projects, contributing to publications, and fostering innovation within the department. This position also involves collaboration with
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programme. The MAGICA project aims to accelerate the development, provision and exchange of knowledge from research and innovation to inform and support policymaking and climate actions. It will do this via
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vision and machine learning methods for multimodal imaging and real-time analysis in colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection
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methods for multimodal imaging and real-time analysis in colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and