647 web-programmer-developer-"LIST" "https:" "https:" "https:" PhD positions in United Kingdom
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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Primary supervisor - Dr Ellen Lowry Preventative healthcare is central to the NHS Long Term Plan, with emphasis on early intervention, chronic disease prevention and reducing health inequalities
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training programme which develops with you as you travel through your PhD. It will set you up with all the critical skills and tools you need to get started, then moving through broader skills development
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of this research programme. The project will be the first of its kind to explore the validity of FIFA-approved skeletal tracking systems for the potential application in on-field gait analysis with the possibility
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requirements for our PhD programme. Essential criteria: A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics, computer science, physics or engineering
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will support the £35m EPSRC Manufacturing Research Hub in Robotics, AI, Automation & Smart Machine Enabled Sustainable Circular Manufacturing & Materials (RESCu-M2) which is developing new technologies
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facility where power-plant relevant plasma fluxes and heat loads can be applied to PFC components. You will address this issue by building upon existing Birmingham-Julich research programmes and using
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supply chain resilience. Following a PhD‑by‑papers route, the research aims to deliver three high‑quality scholarly outputs and develop insights to enhance supply chain management practise. This project
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linked directly to Jungbunzlauer, a leading producer of biodegradable ingredients. Jungbunzlauer products enter global markets daily, and you will be contributing to real industrial development rather than
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will