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its interactions with different midbrain regions. The successful candidate will use a variety of systems neuroscience techniques in rodent models to interrogate neural circuits underlying affective
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consumption of UAVs. A distributed ML algorithm based on Liquid State Machines will be designed to adaptively optimize resource assignment and UAV positioning. WP3: Algorithms Validation and Use Case
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Join us in the University of Exeter’s Centre for Metamaterials Research & Innovation – the heart of the UK Metamaterials community. You’ll be part of the £20 million EPSRC MetaHUB – the UK’s largest
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thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £18,700 for 3 years full-time, or pro rata for part-time study. The student would be
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. Enable agents to simulate and adapt to human responses in real-time collaborative scenarios, enhancing performance in environments like smart transport systems, dynamic crowd management and other IoT
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technology for future low-inertia power systems, and wind energy, as one of the largest and fastest-growing sources of clean electricity, occupies a significant role in this transition. The integration of grid
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of at least £21,805 per year for 4 years full-time, or pro rata for part-time study. Students will be based at the Streatham Campus in Exeter with funded visits to NATS. The studentship will be awarded
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Project Description Chrono-urbanism is an urban planning approach that prioritises time as a core resource, aiming to reduce travel time by placing essential services, leisure, and work within a
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Join us in the University of Exeter’s Centre for Metamaterials Research & Innovation – the heart of the UK Metamaterials community. You’ll be part of the £20 million EPSRC MetaHUB – the UK’s largest
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the large-scale deployment of hydrogen. Central to the performance of these systems is the ion-conducting membrane, which governs ionic transport, efficiency, durability, and operating conditions. Currently