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Field
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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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opportunity to disseminate work through high-quality peer-reviewed journal publications and presentations at prominent international conferences, such as the IEEE International Conference on Robotics and
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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, you’ll be developing innovations critical to a greener, more sustainable future. In hydrogen storage and transport, high-performance mechanical seals are essential. These seals prevent gas leakage by
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This project provides an excellent opportunity to develop state-of-the-art mathematical models and computational tools of emerging respiratory pathogens, within a world-renowned research group
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with a research component, or those with strong research skills, including qualitative research, and knowledge of the social environment of healthcare. In either case, the PhD will benefit from the high
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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with a research component, or those with strong research skills, including qualitative research, and knowledge of the social environment of healthcare. In either case, the PhD will benefit from the high
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will be used to perform a comprehensive pathogen population analysis of TB in the UK, including routes of entry to the UK, onward transmission, geographic specific lineages and adaptations, including