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Field
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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. The aim is to develop novel methodologies for thermal infrared (TIR) earth observation to support urban decarbonisation and improve the energy performance of buildings. The successful candidate will play a
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, such as reservoir construction, urban expansion, water abstraction, and wastewater discharge, are key drivers of changing hydroclimatic patterns (Han et al., 2022; Sarojini et al., 2016). However, our
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This studentship aims to develop valid and high-fidelity immersive simulations to support the transfer of performance to competitive sporting environments. Immersive simulation is widely used in
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pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days
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simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state-of-the-art simulation algorithms to circumvent
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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of Edinburgh, the capital city of Scotland and one of the most liveable cities in the world, the School offers not only world-class academic opportunities but also an exceptional quality of life. The medieval
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such as Alzheimer's - but predicting how proteins fold in biological environments remains a key unmet challenge. This project brings together insights from efficient graph-driven folding simulations with
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans