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Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid behaviour with amorphous liquid
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, manufacturing process dynamics, and uncertainty quantification. The interrelation of these three topic areas is increasingly important for future lightweight and sustainable composite structures. The ideal PhD
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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project investigating Coral Reef Dynamics across Longitude, Latitude, and Depth. The goal is to further our ecological understanding of coral reefs across their full spatial extent to provide a
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About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models
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Location: Streatham Campus About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making
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to enhance ecological resilience and community wellbeing. The project will examine how the configuration, connectivity and condition of these dynamic water systems, and their surrounding land cover, influence
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
operate in spectrum environments that are scarce, heterogeneous, and highly dynamic, which makes the traditional static and centralised spectrum management strategies inadequate for ensuring reliable, low
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. However, individual wetlands respond dynamically to sediment supply, tides, and vegetation growth. At estuary scales, restoration in one area can alter flow and sediment patterns, influencing future
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, recruitment and long-term population dynamics remain poorly understood. Despite extensive monitoring, there are few tools capable of predicting amphibian population responses under future scenarios. This PhD