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student, allowing the assessment of both the ‘before’ and ‘after’ clear-cut hydrological states and GHG fluxes. The many diverse training opportunities will include field-based geophysical measurements
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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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considering a PhD or Clinical Doctorate, and many of our previous RAs have gone on to undertake these roles. The post holders will be based at Nottingham University and hold Honorary contracts with
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for multiuse purposes, addressing issues on climate change adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and
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. Work will also involve electrochemical modelling using existing models and using AI based tools. The focus of the work will be to cater to the needs to high voltage/power in power electronic systems
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développement de nouveaux matériaux magnétiques composites et d'inducteurs de puissance intégrés à noyau magnétique à base de ces matériaux, qui seront utilisés pour mettre en œuvre des IVR à haute fréquence et à
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disciplines. Employees with different backgrounds conduct research in national and international research co-operations. The IGZ is based in Großbeeren near Potsdam and near Berlin and is a member of the
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; develop a hybrid question parsing pipeline using NLP and formal semantic representations; investigate Large Language Models (LLMs) as well as symbolic AI for question parsing; evaluate models based on a
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
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tuition fees plus an annual tax-free stipend of at least £20,780 for 4 years full-time. The student will be based in the Centre for Water Systems https://www.exeter.ac.uk/research/centres/cws/ ) in