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. To enable this, it is necessary to develop a detailed understanding of how the specific growth conditions affect the final properties of these materials. This project will apply solid-state density functional
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crystalline heterostructures of TIs and organic dyes that produce an interface with tuneable topological behaviour. This project will develop growth, lithography and processing techniques to facilitate
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the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform
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Scholarship of Teaching & Learning (SoTL). In joining the University of Leeds, you will become part of an internationally focused University that provides all our students with an outstanding education and
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characterisation (FIB-SIMS, XPS) at the Bragg Centre for Materials Research at Leeds University. The project will be carried out at Leeds University, with several secondments to the AWE site for X-ray tomography
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provided us with a more efficient, in silico approach to develop new ligands for functional materials and catalysis. We aim to extend the Big Data/high throughput DFT methodology in Nguyen group to carry out
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project presents an exciting opportunity for an ambitious scientist or engineer to work across the boundaries of chemistry, physics and engineering, with opportunities to develop a broad portfolio of skills
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School/Faculty Chemistry, Faculty of Engineering & Physical Sciences, University of Leeds Closing Date: 29 April 2024 at 23:59 Eligibility: UK Applicants only Funding EPSRC Doctoral Training
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take place in the Soft Matter Physics group in the School of Physics and Astronomy at the University of Leeds. Within the group, we have a variety of activities across soft matter. We work with world-leading
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address Dr Briony Yorke – [email protected] Co-supervisor name(s) To be confirmed Project summary In this PhD project you will develop and apply novel methods that enable the observation of protein