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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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skills, which will be required to lead the development of automated data analysis and modelling. The student will also undertake a research secondment to coral reef monitoring sites at NEOM for three
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
types in the right place at the right time to establish complex connections and functions. The dorsal midbrain, a subcortical brain region, is known to orchestrate the integration of sensory information
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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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fragility of quantum states that are very easily disrupted by uncontrolled interactions with their environment. A front-running strategy to shuttle quantum information around is by encoding it into single
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Storage Options and Heat Decarbonisation Pathways Task 3.1: This task will assess electrolyser performance under variable PV and heat demand using hourly data, optimizing sizing and dispatch with HOMER Pro
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. Signal Conditioning: Embedding low-power electronics for amplifying and encoding the DA oxidation current into a transmittable signal. Wireless Data Transmission: Establishing reliable signal communication
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental