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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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-generation network architectures. The work will contribute to the development of secure, efficient, and scalable communication solutions for 6G systems. The project is particularly suited to candidates with
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analysis, with the aim of understanding how quantum-safe cryptography can be effectively integrated into next-generation network architectures. The work will contribute to the development of secure
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opportunity to design new membranes whose microstructure and macro-architecture work synergistically, similar to how systems work in nature. Experimental work will include the following indicative activities
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and architectures that support efficient, secure, and scalable machine learning operations (MLOps) across resource-constrained environments for Edge AI. Ethical, and responsible FL for healthcare: In