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will build on ongoing work from the group in the design, synthesis and study of functional organic macrocycles and molecular capsules and their use primarily in catalysis, but also molecular recognition
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-home rates. You will learn a wide range of molecular modelling techniques, as well as collaborative software development and computational skills providing expertise for a broad range of future careers
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perform experiments that interrogate the molecular and cellular mechanisms of novel anti-cancer drugs, employing cellular, biochemical and molecular biological approaches. You will publish your research in
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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, to industrial catalysis and green energy production. This PhD project offers a rare opportunity to explore hydrogen surface collisions at a fundamental, molecular level to gain unprecedented insight into the role
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in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC) and CDN researchers, together with clinical researchers from King’s, make up
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have or expect to obtain a first or upper second-class degree in a relevant subject from a UK university, or equivalent standard abroad. Prior research experience, for instance in molecular biology
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the University or Research Centre where the research will be undertaken. Click here for a copy of the job description. Application Information The three documents needed for upload are a copy of your current
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& Neuroscience and is located at Guy’s campus. Researchers have access to support facilities in genotyping, molecular biology and Drosophila work. CDN has close partnership with the Medical Research Council (MRC
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pigmented and non-pigmented silicone elastomers developed within AMFaces. The successful candidate will simulate aging through cellular senescence and ECM modifications, incorporate immune cells to reflect