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Co-supervisor’s full name & email address Professor Richard Bourne: r.a.bourne@leeds.ac.uk Project summary Metal-organic frameworks (MOFs) have attracted extensive interest from academia and industry
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cyclic loading, varied surface conditions, and exposure to gaseous impurities, and advanced numerical modelling (Finite Element Analysis), this project aims to significantly enhance our understanding
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techniques — as well as theoretical and computational techniques that may include finite element methods, crystal plasticity theory, damage theory, molecular dynamics and advanced multiscale modelling methods
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experience in microstructural analyses. Familiarity with mechanical testing procedures and, ideally, experience in numerical simulation (e.g., finite element methods). Strong analytical skills, an independent
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of the pharmaceutical industry. We are recruiting a motivated PhD student to develop automated flow technologies to enable the next generation of metal oxide catalysts for synthesis of products within the pharmaceutical
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-time study. The student would be based in CREWW at the Streatham Campus. Quantifying the aquatic and terrestrial impacts of historic metal mining sites is crucial, as surface waters from these protected
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and test new transition metal complexes as potential alternatives to platinum. Ideally, these new designs should focus on different intracellular modes of action and/or creation of non-toxic prodrugs
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Invitation to expressions of interest in PhD and Postdoctoral candidates interested in applications in the field Resilience and Risk of Critical Infrastructure. These roles focus on advancing methodologies, modeling, and technologies to enhance infrastructure resilience against emerging threats,...
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How may positions: 1 We are recruiting a motivated PhD candidate to undertake an exciting project within the EPSRC Energy Transfer Technologies Doctoral Training Hub. As a student of the Hub, you will receive an enhanced stipend of £23,237 per year, plus additional funds of £7,000 a year for...
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and/or of biomaterials for intervertebral discs. This will be used to optimise variables in preclinical design of these interventions. The studies will include the use of Finite Element Analysis and 3D