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Field
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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Macroscopic matter is composed of a huge number of quantum particles whose dynamics are typically dominated by interactions. In spite of this immense complexity, when a macroscopic object is in
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to operate with resilience, reliability, and adaptability. The work will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on
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will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on the tight coupling between body dynamics, sensing, and
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Using metagenomic sequencing to diagnose the causative agent of an infectious disease is becoming one of the most hotly pursued research topics in microbiology. This method allows sequencing to be
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EPSRC ReNU+ CDT PhD Studentship: Representative Elementary Volume fluid dynamic modelling for sedimentary geothermal production Award Summary 100% fees covered, and a minimum tax-free annual living
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to understand how such areas, and particularly their dynamic nature, influence perceptions and decision-making. Whilst often appearing to be natural systems, urban blue space is increasingly planned, managed, and
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Dynamics (CFD) and data-driven methods for aerodynamics and aeroacoustics with primary application in aerospace engineering. The PhD project is expected to start in September 2026 (but the time can be
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Swansea’s prestigious Structural Dynamics research group within the Zienkiewicz Institute for Modelling Data and AI, and have access to excellent laboratory facilities. This is complemented by the experience
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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