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. The subsequent data will then be used to populate machine learning models to predict which molecules to synthesise next, to maximise the binding affinity of the molecules to a target protein. This research aims
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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mosquito vector. This is to dissect the protein network and how key novel signalling proteins are involved parasite proliferation stages. The work will involves gene targeting both conditional knockdown and
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targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle from material
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project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for
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to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for clinical depression
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implement a strategic marketing plan for the MBA/DBA programmes and conduct market research to understand target participants, competitive landscape, and programme positioning. Oversee the creation
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following their PhD. It is designed to offer support and flexibility and is targeted at excellent scientists and engineers who wish to establish a research career, allowing bespoke projects to be developed