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Field
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. Agents will be trained to detect and respond to false data injection, denial-of-service (DoS), and topology attacks through adversarial training and robust policy learning [8]-[10]. This approach will
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continuous operations at lab scale. In Situ Product Recovery (ISPR) evaluation: Test ISPR methods to boost productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis
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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
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training. The goal is to build realistic, culturally sensitive digital avatars that simulate dementia‐care scenarios in care homes. Through co-design with carers, care-home staff, families and community
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integrates real-time environmental data and physiological information to simulate and forecast how marine turtle populations respond to changing thermal conditions. The proposed Digital Twin for Marine Turtle
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control strategies integrating fuel, engine, electric machine, and energy recovery systems for improved overall efficiency. Validate the developed methods through experimental and simulation studies
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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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REF2029 impact. Methods and workplan Data and simulation: curate multi-fidelity datasets that couple finite-element heat simulations with active thermography experiments. Model design: extend FNOs with
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hydrological systems. This project will develop a robust modelling framework to simulate future changes in water resources in North and East England, using a combination of physically-based hydrological
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interactions involving tides, topography, and sea-ice will be of particular interest. The student will first exploit numerical simulations carried out at Scripps (US) and NOC/University of Reading (UK