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About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists
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chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
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aquaculture, ensuring robust experimental validation of behavioural biomarkers. Dr Jun Chew (Engineering) will lead on sensor design, system integration, and embedded software development. Industrial engagement
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. The imperative is to move beyond task-specific AI and harness these foundational models for genuine network autonomy, realised through a collaborative ecosystem of specialised agents. This research will address
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
Decoding the precise programme regulating neurodevelopment has been crucial to our understanding of brain disorders. A central question is how the brain generates its remarkable diversity of cell
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tuition fees covered). The aim of project is to develop a new experimental platform to control quantum states of light as they propagate through complex scattering media, with future applications to quantum