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PhD Studentship: Improved Heat Transfer Understanding via Conjugate Heat Transfer, Co-Simulation and AI Approaches Research has shown that the development of gas turbines is critical to the success
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Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only | £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity
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4 year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function University of Nottingham, School of Medicine Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr
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Eligibility Criteria A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we
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the machine learning based forecasts. Furthermore, since optimisation involves data exchange between different entities in the grid, data exchange cybersecurity is an important concern. The PhD project will
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Award summary 100% fees (UK home only), a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part
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code: 8030F · Research Area: Chemical Engineering · Select ‘PhD Chemical Engineering’ as the programme of study. You will then need to provide the following information in the ‘Further
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
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state-of-the-art analytical facilities. You’ll also be trained in advanced techniques such as drone-based macrophyte surveys and remote autosamplers for phosphorus monitoring. This PhD combines ecology