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Field
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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First-class (or equivalent) degree in Mechanical, Automotive, Powertrain, or Control Engineering, or a closely related discipline. Strong academic performance and research potential are essential
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engines, alternative fuels, combustion optimisation, and powertrain control. As the automotive industry transitions towards electrification, integrating novel fuels—such as hydrogen, ammonia, e-fuels, and
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Durndell Second Supervisor: Professor Karen Wilson Third Supervisor: Dr Thierry Tonon Fourth Supervisor: Dr Leonardo Gomez Applications are invited for three 3.5 year PhD studentships with the Marine
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challenging. This project aims to develop an ultrasound-assisted nanoparticle-based drug delivery system for targeted, controlled release of antimicrobials within these hard-to-reach oral microenvironments. By
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-based immersion cooling remain largely underexplored. Open questions persist regarding the optimisation of boiling initiation, nucleation and bubble dynamics, and control of vapour-liquid interfaces in
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Research theme: "Spintronics", "Photonics", "Materials Science" How to apply: uom.link/pgr-apply-2425 UK and overseas This 3.5-year PhD studentship is open to Home (UK) and overseas applicants. The
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engineering applications, and their tight integration with planning and control (e.g., task-and-motion planning, differentiable planning, or Reinforcement Learning (RL) with safety constraints). There will be