11 computer-science-"https:"-"Data-driven-Materials-Modeling" "https:" "UCL" Coursework positions
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hydrodynamic modelling remains largely unexplored, creating an opportunity to unite data-driven and physics-based approaches across diverse UK hydrological regimes. This project will develop a national
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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). Overview This PhD will develop a data-driven framework to understand how climate-driven extreme weather affects electricity distribution networks and how targeted interventions can reduce
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observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations. These models will improve predictions of mineral alteration
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alteration. The project is funded by Eni S.p.A through the UK Energy Futures ( https://ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social scientists to
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Years Application Closing Date 15th October 2026 Sponsor British Heart Foundation ( https://www.bhf.org.uk/ ) Supervisors Dr Simon Bamforth https://www.ncl.ac.uk/medical-sciences/people/profile
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high-risk areas and populations, helping public health teams prepare for and respond to outbreaks and work with experts in microbiology, data science, and public health, gaining skills in statistical
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PhD Studentship: Embedding Implementation Science within Horizon Scanning to Enable Adoption-Ready Technologies Award Summary 100% of home tuition fees and annual stipend at UKRI rates (2026–27
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). Minimum Data: ‘Research Stream’ and ‘Scholarship Category’ are required for Minimum data (see Section 3 of Appendix C – Guide to Applicants). Track Record: In addition to Publications, ‘Research Outputs
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agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and