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are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A minimum 2:1 Honours degree
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simulate hydrodynamic and pollutant transport processes, their computational cost limits their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics
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pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can simulate hydrodynamic and pollutant transport processes, their computational cost limits
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fermentation–separation processes to enhance efficiency and reduce fuel costs and lifecycle greenhouse gas (GHG) emissions. Research Activities Strain screening: Identify and evaluate microbes for efficient C5
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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explore key physical processes governing CO2 plume migration, trapping mechanisms, and fluid–rock interaction under realistic subsurface conditions. The goal is to generate insights that improve the safety
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have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing
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Date 31st January 2026 Sponsor EPSRC , Eli Lilly Pharmaceuticals Supervisors Dr Hannah Stewart , Professor Mike Waring Eligibility Criteria We are adopting a contextual admissions process. This means we
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators