492 web-programmer-developer-"https:"-"https:"-"https:" PhD positions in United Kingdom
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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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/caregivers view food as a way to support mental health. Understanding these views is important for developing effective and acceptable interventions. The potential benefits of combining diet with psychological
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of key project milestones and contributing to high-quality research outputs and publications. This role offers the opportunity to develop expertise in a highly specialised and fast-growing research area
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-on experiments & development and opportunities for travel to international facilities. This project is supported by the large investment of a URKI Future Leaders Fellowship to identify, synthesise and explore new
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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, and cost considerations. Aim To model and analyse component and system level reliability, availability and resilience of hydrogen systems. PhD project description The proposed project aims to develop a
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novel research Opportunities to develop lab demonstration/teaching experience The confidence to deal with uncertainty and tackle any problem without a defined final answer Funding This position is fully
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their understanding of food insecurity in specific groups while developing key professional and collaborative skills. How to Apply Please apply through the University of Sheffield Postgraduate Application System . We
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device software case study. The project is particularly suitable for strong UK graduates interested in developing advanced research and technical skills while working on a problem with real societal impact
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features such as curvature, branching, bifurcations, narrowing, and local dilations. This PhD project aims to develop a ‘haemodynamic fingerprinting’ framework that systematically links arterial geometry