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Field
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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Materials Group (NANOUP) is focused on controlling the supramolecular assembly of molecules, biomolecules and nanoscale building blocks at the nanometer scale for the design of novel functional architectures
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architecture, including inverted transformers, to create a practical foundation models for time series forecasting focusing on the manufacturing industry. The models will be trained on both large datasets and
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
the tens of kHz band relevant for ocean acoustics and marine bioacoustics. This PhD project will focus on the development of next-generation DAS architectures that support extended sensing range and
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areas, which will be used to train and assess boundary layer neural network models. The student will develop and evaluate suitable ML architectures, analysing the trade-offs between different modelling
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The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and integration technologies. As digital computing
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problem is computationally intractable. This project uses an AI-guided inverse design loop. A goal-directed AI proposes novel GNR architectures, which a fast machine learning model rapidly evaluates
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clinical applications. This PhD studentship will develop next-generation polymer drug delivery implants designed to form in situ and enable tuneable release pathways. By controlling polymer architecture
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voltage power semiconductor devices operating in the multi-kilovolt regime. The research will investigate advanced device architectures in silicon and wide-bandgap materials, with emphasis on electric field
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. The Data Spaces group research techniques for intelligentinformation systems, including large-scale decentralised architectures, open data infrastructure, data semantics (representation, storage, and