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numerical modelling approach for simulating root-soil interaction, coupled with physical model testing to determine root-soil interaction parameters. The results of this phase of the project will have direct
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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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will include advanced 2Dm synthesis, acoustic manipulation, and device fabrication in Exeter’s and Bath’s facilities, alongside simulation (thermal energy) and characterisation methods (Raman, AFM, SEM
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allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview The state-of-the-art in computer-aided drug design is physics-based modelling, in which candidate drugs and
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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, finite element simulations of vibration propagation, and AI-based signal analysis to establish a physics-informed understanding of the relationship between structural behaviour and fall detection accuracy
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performance of AI models for fall detection. The research will combine experimental studies on different floor systems, finite element simulations of vibration propagation, and AI-based signal analysis
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proposal is not required, instead upload a copy of the project name as a word file. For queries regarding the application process, please contact pgr.sst.enquire@citystgeorges.ac.uk City, University
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methods to enable efficient structural simulation of novel aircraft configurations – essential as aviation transitions to alternative fuels. These methods will also expand the role of simulation in