53 algorithm-development "https:" "Simons Foundation" positions at University of Exeter
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PhD Studentship: Building Brain Circuits: decoding RNA processing in the developing mammalian cortex
The mammalian cerebral cortex contains a wide diversity of neuronal cell types that form highly specific connections during postnatal development to support complex behaviour. A major emerging
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
and coordinate motor responses. Despite its importance, our understanding of its development and how it may be disrupted in neurodevelopmental disorders is still largely unknown. This funded PhD project
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Project details Objective: This project aims to develop a wireless, nanoengineered graphene-based biosensor for real-time dopamine (DA) detection. The wireless design of the sensor aims to enable
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Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed to train tomorrow’s leaders in earth and environmental science. For further details about
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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be given sector-leading training and development with outstanding facilities and resources. The EPSRC studentships will be offered across the whole of EPSRC’s remit , with projects at the interface
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an international team of scientists developing early-warning indicators of killer whale health. The focus will be on behavioural indicators, but the work forms part of a larger collaborative effort to create
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC