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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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distributed quantum computation. In this project, we plan to push all of these areas further, with experiments in blind quantum computing, quantum repeaters, and enhanced metrological quantum advantage. We seek
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for a fixed term (funded until 31 March 2026) You will coordinate of survey studies across all partner institutions, including design, delivery and evaluation of a Mental Health Literacy Course and
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cutting-edge research at the intersection of RL and LLMs. You will also design and run experiments to improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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design and have the opportunity to demonstrate its performance by studying key catalytic reactions important to the energy transition. Previous experience of adapting/developing vacuum instrumentation and
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with other researchers in designing behavioural tasks and neuroimaging/neurostimulation experiments for investigating the neural mechanisms underlying emotional approach/avoid choices. You will use fMRI
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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. Research on this project will involve catalyst design, setting up small-scale hydrogenation reactions in batch and continuous flow, immobilisation of enzymes, combination of enzymes with metal nanoparticle