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– the Doctoral Landscape Award (DLA) and the Doctoral Focal Award (DFA) – as part of its Future Doctoral Programme. The new awards aim to provide more flexible, inclusive, and strategically aligned funding across
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Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed to train tomorrow’s leaders in earth and environmental science. For further details about
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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. This interdisciplinary chemical biology and plant biology project will involve training in cutting-edge science including computational design and peptide/small molecule synthesis, as well as evaluation of the compounds
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for 4 years. The PhD project would suit a candidate with an undergraduate degree (2:1 minimum) in computer science, bioinformatics, physics, or chemistry. References: [1] Ludwig C. MetaboLabPy — An Open
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converting a widespread pollutant, nitrate, to a valuable fertiliser and chemical feedstock, ammonia. Harnessing sunlight as an abundant and sustainable source of energy to drive the upcycling of waste
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qualification in ecology, marine biology, data science, environmental sciences, or related fields. Candidates with interdisciplinary backgrounds and strong quantitative skills are particularly encouraged
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to use cutting edge techniques, developed in our lab, to design molecules which can control this protein complex. This chemical biology project will be interdisciplinary, involving training in
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targeted must be extremely potent and are often natural products that, on their own, are too toxic to be used. In this project, we will use synthetic chemistry, both in solution and on solid phase, to design
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, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer Science