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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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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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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
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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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. 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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. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess the structural performance of composite sleeves under operational conditions
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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constraints. The student will then develop concepts of operation for the deployment of aerial assets in support of first responders, including performance benchmarks for range, endurance, payload capacity, and
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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-efficient processes for fabricating high-performance composite materials, supporting lightweighting and sustainability targets in key sectors such as aerospace, automotive, and renewable energy. The project