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activated enzymes for selective chemical transformations. The first part of the project will involve preparing and characterising a set of photoresponsive proteins. These proteins will then be screened for a
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this fundamental challenge, the PhD candidate will be part of a wider team to establish methodological framework, combing utilisation of controlled tree growth test, thermodynamic modelling and advanced optical
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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, through specific experimental arrangements during the PhD project. This PhD is fully funded by the University of Manchester as part of their commitment to support a recently successful BBSRC-Arxada award
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Gamesa Renewable Energy R&D team and also undertake an industry placement as part of the PhD programme. To apply, please contact the main supervisor, Dr Chen - lujia.chen@manchester.ac.uk . Please include