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neuromorphic computing and machine learning. Test the platform in scenarios requiring human-AI cooperation, such as dynamic human-robot interactions, and evaluate the system's energy consumption, adaptability
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we leverage these interactions to increase the security and resilience of SatComs and future generation networks. Further details on this PhD project can be found at the following link: https
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be possible, please contact Professor Kamalan Jeevaratnam once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . This is an interdisciplinary project in
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decisions related to turbine inspection and maintenance with a human expert [4, 5]. This can be based on a deep reinforcement learning framework, which interactively optimises key performance indicators in
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the air-we-breathe, water-we-drink, and food-we-eat. Notably, humans are thought to ingest upto 5 grams per week. Interaction of ingested MNPs with the gut microbiome promotes development of microbial
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assistant system using multimodal AI methods to process vision, language, and audio signals with an application to human- robot interactions to understand and respond to human actions. The successful
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Primary supervisor – Prof Arjan Narbad We are seeking a highly motivated PhD candidate to explore the role of Bilophila wadsworthia in microbiome-driven metabolic dysfunction. This interdisciplinary
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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comparatively strong interaction between bilayers of these materials offers interesting perspectives for materials design. In this spirit, the successful applicant will use state-of-the-art atomistic simulation
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Project advert We are looking for a PhD candidate with a background in human physiology or biomedical engineering/computer science to develop new ways to measure healthy ageing from genetic and