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Field
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challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical
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quantum mechanics (QM-in-QM) methods to enable the accurate simulation of charge transfer and light-matter interactions at interfaces. You will model surface catalytic reactions and surface spectroscopy
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decision processes. Use the CARLA simulation platform to generate DCD-style data in high-risk or ambiguous driving scenarios. Build a proof-of-concept verification pipeline that maps DCD outputs
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productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis (TEA), and life-cycle assessment (LCA) to assess cost and GHG performance. Candidate’s Competencies and
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target feature extraction Experimental validation and assessment of real performance limits The algorithms we will derive will be theoretically designed, verified by simulation, and tested in the field
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, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
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to understand these dynamics. This project proposes a novel pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses
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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
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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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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