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prospective novel targets for neurodegenerative disease. The primary responsibility will involve research activities supporting the project, practically contributing to activities across methodologies (e.g
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optimisation and capability development, equipment maintenance and troubleshooting, data acquisition and analysis, setting and achieving EHS&Q objectives and targets, and driving continuous improvements
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required to provide regular reports on expenditure against budget and outcomes achieved against targets. An annual report is also required by the funder NIHR. The role is required to work closely with Theme
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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