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Institute). The position is fixed term for 36 months and will provide opportunities to work on aircraft icing modelling and experimental campaigns. Ice crystal icing is one of the least well characterised
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require a deep understanding of the classical infrastructure that supports them, including analog control systems. As quantum devices scale toward the million-qubit regime, modeling these complex systems
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push the frontiers of analogy between real-world volcanic plumes and small-scale experiment, including a representation of atmospheric stratification, sheared atmospheric wind, and multiphase plume
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deliver the first comprehensive assessment of current and future high-impact extreme weather events in Antarctica and their associated risks. Key risks include impacts of extreme weather on vulnerable ice
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of the arrival of the Europa Clipper (NASA) and Juice (ESA) missions. There is scope to improve the accuracy of these models by studying the fundamental properties of ice in a new ices laboratory. Applicants
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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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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, 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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generate key structural and biophysical data to support the design of small molecule inhibitors with particular focus on protein production and crystallisation, solving protein-ligand structures, fragment