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PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
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monitoring, and autonomous systems. However, most advances rely on large datasets and computationally intensive architectures that are impractical for scenarios constrained by limited data and resources
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Primary supervisor - Prof Cristóbal Uauy Wheat provides 20% of the calories and protein consumed by humans. The world population will reach 9 billion by 2050, which requires food production to more than double. Although plant breeding has led to the development of high-yielding wheat varieties,...
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
on this foundation, this project will advance distributed and lightweight LLM architectures to enable resource-efficient spectrum allocation across highly dynamic and interference-prone 6G aerial environments. As LLM
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: Available Programmes: MPhil/PhD Business Information Management MPhil/PhD Project Management MPhil/PhD Operations Management MPhil/PhD Property and Construction This School invites research in architecture
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. This probabilistic approach reflects the uncertainty and variability of geological systems, providing, in addition, a measure of confidence. (4) Calibration Ai architecture. The final component develops a calibration
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materials and innovative sensor architectures that maintain stable performance under bending, moisture exposure, and mechanical loading. The envisioned platform will contribute to future responsive biomedical
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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aims are (i) to develop a digital twin architecture capable of integrating heterogeneous environmental data streams (satellite-measured sea-surface temperatures), in-situ beach temperatures collected