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adapting their energy use, control strategies, and collective behaviours to enhance sustainability. The research aims to design AI-driven control and energy management frameworks that enable self-organising
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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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enteric coatings that dissolve at specific pH ranges, but these lack precision and control over release timing/location. Ingestible “smart capsules”, such as IntelliCap, have emerged as an attractive
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, medicines, and even fuels. Their properties, like how stable or smooth they are, determine how well these products work. Studying emulsions also helps scientists understand fundamental processes in soft
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down the AMOC, which is highlighted as a global tipping point of major concern by the Intergovernmental Panel on Climate Change (IPCC). This project seeks to understand the operation of this sub-polar
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affect plankton-driven processes and carbon cycling remains fragmented, with few quantitative datasets under realistic ecological conditions. This PhD project will bridge that gap by combining field
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical