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Field
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networks. Unwanted artifacts can be introduced that influence multiple sense (e.g. vision, hearing and touch) that degrade the sense of immersion in the game. The primary focus of this research theme is to
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the associated networks understanding human disorders such as autism, schizophrenia, mood disorders and others, where perceptual inference is increasingly hypothesised as a core deficit. The research
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neural network models, produce stimuli for artificial and biological agents, participate in experiments with chicks maintained in the Biological Services Unit, contribute to lab meetings and research
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and accelerating the development of next-generation inorganic and hybrid crystalline semiconductors for the net-zero carbon transition. Materials explored will expand from an initial selection
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manufacturer of the sensors and electronic systems which sit under the skin of the world’s most advanced aircraft, effectively acting as their brains, senses and nervous systems. Protecting pilots, alerting air
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for high impact journals. Participate in events, give expert talks, support in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research
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in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research proposals. Grant reporting, managing and monitoring. Work with
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well as in designing coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research directions relevant for this position. A high degree of self
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of Professor Stewart Barr, Professor Gareth Shaw and Dr Ewan Woodley to undertake an Economic and Social Research Council funded impact project entitled Travel Towards Net Zero: co-creating low-carbon tourist
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require