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advanced theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
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This 3.5 year PhD project is fully funded by the Department of Chemistry (DTP). Home students, and EU students with settled status, are eligible to apply. The successful candidate will receive
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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme
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computational enzymology to uncover mechanistic principles that guide future enzyme design. The project offers comprehensive training in biocatalysis, enzyme design and engineering, organic synthesis, structural
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process
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of 3 ½ years duration. The PhD studentship project will use state-of-the-art experimental structural biology and computational tools to gain a deeper understanding of the environmentally important
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed
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biocatalysis by engineering two distinct cofactor dependent enzymes to yield asymmetric acid building blocks. The widespread UbiD family of prFMN-dependent reversible decarboxylases readily interconvert