488 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe past, present and future events to constrain extreme value distributions spanning hundreds
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respond over time (e.g. changing shape, releasing medicines), controlled by the arrangement of the various dissimilar materials within them. The goal of this project will be to develop responsive 4D-printed
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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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strategic advantages such as discovering new value-creation opportunities. This project will be conducted in collaboration with Circularise, a technology company founded in 2016 that develops blockchain-based
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therefore paramount, but traditional simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state
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About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
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a number of questions relating to the accuracy of this kinematic data, and this forms the basis of this research programme. This project has the potential to redefine the future of biomechanical
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the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a
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wider ecosystem structures. The findings will generate actionable insights for policymakers, incubators, development organisations, and SMEs by identifying the ecosystem features that most effectively