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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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equivalent in a subject relevant to the proposed PhD project (e.g., mathematics/statistics, engineering, quantitative ecology/biology). A Masters qualification in a relevant subject area will be advantageous
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Advanced Process Intensification Strategies for Chemical and Catalytic Reactions Using Taylor–Couette Reactor Technology Award Summary 100% fees (UK home only), a minimum tax-free annual living
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of the CDT in Process Industries: Net Zero . Taylor–Couette technology exploits the controlled vortices formed between concentric rotating cylinders to generate intense, well-defined shear and mixing
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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Engineering select ‘PhD Electrical and Electronic Engineering (full time)’ 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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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select Mechanical & Systems Engineering (full time)' as the
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PhD Studentship in Computer Science: Quantum-Safe Security for 6G Networks Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates
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programme of study: Search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic Engineering Select ‘PhD Electrical and Electronic Engineering (full time)’ as the