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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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, which can ultimately limit their justifiable performance, also advancing the design of both fusion and fission reactor components, and thereby contributing to increase their power density and decrease
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impurities and scrap-blends on the corrosion performance of alloys evaluated through different corrosion tests supported by advanced characterisation techniques. The objectives are as follows: To evaluate
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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel
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candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
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reflection. Our previous work has only just reached the point where all the above elements have been successfully combined [1-2]: a working multi-scale design process combining theory and numerical simulations
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, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community ’ s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
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-economics. Experience in working with datasets and prior coursework in probability theory and statistics will be helpful, but not necessary to apply for the position. How to apply: Please choose Electrical