47 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at The University of Manchester in United Kingdom
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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developing next-generation technologies. In this PhD project, you will employ atomistic spin-lattice dynamics simulations, a framework that combines atomistic spin dynamics with molecular dynamics
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laboratories based at the Dept of Chemistry, University of Manchester. The studentship is available from Sept 2026 and tenable for 3.5 years. The project will develop new approaches to novel nucleosides via
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focused on methodology development, providing excellent all-round training in practical organic synthesis with particular emphasis on contemporary photochemistry. You gain extensive experience in analytical
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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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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
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, and local dilations. This PhD project aims to develop a ‘haemodynamic fingerprinting’ framework that systematically links arterial geometry → blood flow patterns → atherogenic risk, without relying
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2026. We recommend that you apply early as the advert may be removed before the deadline. This PhD project will develop generative hybrid models that integrate AI foundation models with physical
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to leverage molecular dynamics simulation develop methods to determine the partitioning with relevant surfactant systems. The project will further be extended to studying the interaction of different additives
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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant