47 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships in United Kingdom
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considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Fully funded 4-year PhD studentshipat the University of Birmingham. Scholarship covers
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 1 month ago
of Nottingham to commence in October 2026. Project overview This project investigates how housing inequalities spatially structure wellbeing in cities. It begins from the premise that where we live — and the
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of Chemistry is a leading international centre for chemical kinetics and its applications. (https://eps.leeds.ac.uk/chemistry ) Task description for your Individual Research Project (IRP) Problem Definition
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The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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, social, cultural, and structural factors. The PhD aims to develop and test a novel systems-based framework to inform both policy and practice, identifying leverage points for more effective intervention
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data collection, as demonstrated in previous research applied to seismic-prone areas of Chile and India, and by scaling up re-construction processes that can otherwise be slow in heritage contexts
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located offshore, present very specific technical challenges. Structural design and optimisation of performance in energy conversion are dependent on a correct estimation of the effects of flow, but scale
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Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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methods – ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets, latent variable modelling techniques, structural equation modelling