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predicts something important? This project will uncover the neural circuits that transform visual information into dopamine signals that teach the brain about motivation, action and decision-making
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will work with deep learning, affective computing, multimodal signal processing, graph neural networks, hypernetworks, temporal modelling and responsible AI. Expected outputs include personalised
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specifically, the PhD student will examine dynamics of sensory processing with a particular focus on the suppression of sensory input around movement initiation. Projects will involve using physiological
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is shaped by microglial genes, particularly the TREM2 signalling axis. The coding mutation TREM2 R47H increases disease risk, while the coding mutation in the downstream signalling molecule PLCG2 P522R
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to build the developing brain? This project explores how neuronal signals regulate astrocyte function and how this communication is disrupted in neurodevelopmental disorders. Using a unique combination of
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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brain circuits, but the role of protein synthesis in this key developmental process is still poorly understood. Using zebrafish and mouse models, this project will compare ribosomes in progenitors and
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mathematically in their full multiscale complexity, many complex systems leave warning signals in their data - subtle mathematical fingerprints that appear before a rapid transition unfolds. But reading those
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to treat infections caused by multiple bacterial species at once? Could eliminating one pathogen unintentionally allow another to flourish? This PhD will tackle this critical question, uncovering when
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being a condition that affects people with high body weight, but millions of people with type 2 diabetes worldwide are lean. We do not know the cause of diabetes in these people or how to treat them