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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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process.
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, dynamical systems and statistical physics. The candidate will be jointly supervised by the Coventry team Dr Fei He and the Stellenbosch team Prof. Francesco Petruccione . This project will contribute
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"Confirmation of funding" must be attached/uploaded during the application process. Candidates should supply a brief research proposal of 2-4 pages. This should include a brief literature review to the research
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both homogenous and heterogenous catalytic conversion, including the handling, testing and characterizing the catalysts as well as the reactor and process simulation and analysis. Details will be
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health challenges, we’d love to hear from you. Application Process Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity
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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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to nominate you for CAM-DTP funding. Please note there is no direct application to the CAM-DTP in either route; you should follow the standard application process for your preferred University. You can