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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more
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workload, increase usability and generally make the vehicle a special place to be. The project will treat the experience of tranquillity as a phenomenon that can be measured and influenced. That phenomenon
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a
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. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non-thermal plasma catalysis
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discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also expected to have an impact in materials
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natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis
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Hydrogen is the most abundant molecule in the universe, and its interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel
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, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation
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researchers working together to develop better understanding of decision-making processes in the provision of active travel infrastructure. The project will address research questions such as, why are some
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enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess