496 web-programmer-developer-"LIST"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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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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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree from the
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to address climate change. To bridge this gap, this project will characterise wildfire charcoal from historic fires with known ages (years to decades to 174 MA old) to examine compositional evolution and
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to a ‘Home’ student – which includes UK nationals, EU nationals with Settled Status or Pre-Settled Status, and refugees. A full list of requirements for ‘Home’ students can be found here. If you are
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Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and testing potential drug candidates in high-throughput. One of the barriers
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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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UKRI rate). Additional project costs will also be provided. Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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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