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resolved analysis of metal–organic frameworks? Are you interested in host–guest interactions in membranes? Metal–organic framework (MOF) materials in both crystalline and glass forms exhibit exceptional
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. These findings will inform a new generation of Finite Element computational models that seek to include the complex behaviour of rocks into volcano deformation models. You will join and work with Dr Craig Magee
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, disability studies, social policy or quantitative research methods, but we welcome applicants from all areas of expertise. You will be working with an experienced team of academic and support staff to deliver
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to apply your skills in automation and reactor engineering to the development of new microwave flow platforms for use in materials chemistry? Metal-organic frameworks (MOFs) have attracted extensive interest
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the functionality of the University’s current research information system (Symplectic Elements) and replace the research data repositories. You will be based in the University Libraries with close links
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Are you interested in astrophysics, and how advanced computational methods can be used to investigate the evolution of magnetic fields in neutron stars? Would you like to feel part of a strong
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Sustainable Travel Steering Group, as well as the wider University community, to support the delivery of the Business Travel element of the University of Leeds Sustainable Travel Programme. You will have
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could be related to biogeochemical cycles and sustainable use of resources, and/or ecology, conservation and biodiversity. Methods used may include modelling, machine learning, remote sensing, field and
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validity and generalisability. In addition, the methods used in PedR for data collection and analysis and the robustness of these approaches will be a focus of the research. In this research, you will work
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://teachingexcellence.leeds.ac.uk/lite-incubators/ ) As part of our new strategy, we will conduct high-quality research in Pedagogical Linguistics using linguistics approaches and methods to develop ways of decoding subject