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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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printing) is a digital technology and a key enabler for realising next-generation equipment designs that are less energy-intensive and more sustainable. This project will explore a new avenue: fabrication of
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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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your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘Electrical and Electronic Engineering PhD (full time) - 8060F' as the programme of study You will then need
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select ‘Electrical and Electronic Engineering PhD (full time) - 8060F' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal
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to develop the new processes, process technologies and green chemistries required for the process industries’ transition to Net Zero. This PhD will focus on scaling up and optimising MEC technology for real