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candidate will explore programmable, AI-enhanced networking frameworks designed to meet the evolving demands of Industry 5.0. This includes developing novel architectures that combine Software-Defined
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
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, providing updates on progress and technical challenges. Contribute to project deliverables, design solutions, technical specifications and developed software. Qualifications, Experience and Skills PhD degree
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PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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Research theme: Tribology How to apply:uom.link/pgr-apply-2425 Number of positions: 1 This 3.5 year PhD project is fully funded for home and overseas applicants. Tuition fees will be paid and the
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-year PhD studentship. The studentship will start on 1st October 2025. Project Description As Deep Learning and Generative AI applications continue to expand, optimizing computational efficiency is
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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are essential. Strong skills in using ANSYS fluent, Python, Matlab or similar coding software are desirable. The studentship offers exciting research based in the Department of Architecture and Built Environment