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specifically targeting stimuli-responsive materials with new structures and particle characteristics. This will be underpinned by investigating the MOF self-assembly processes and structure-property
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of nano-scale plastic particles (nanoplastics; 1-1000 nm) which represent the majority of plastic in the ocean. The impact of nanoplastics on marine life and ecosystem function requires attention
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lab is challenging the traditional view of soil-structure interaction (SSI). This project will investigate the critical role of changing particle shape on material wear and elevated stress transfer
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areas, could include deep learning (e.g. Long Short Term Memory - LSTM), statistical baselines (e.g. Autoregressive Integrated Moving Average - ARIMA, Kalman filters) and transformers (e.g., spatio
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computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use
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electrode performance (charging/discharging) from the single particle to whole cell level. Development of new membranes and electrode structures for fuel cells and batteries using 1D and 2D materials
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microenvironments, mimicking oral cavities and dentine tubules, Characterise ultrasound-induced flow fields and drug particle transport therein using advanced flow diagnostics Study ultrasound triggered drug-release
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, in the oxycline, and around algal particles. Their activity is shaped by cross-feeding interactions with heterotrophs, nitrifiers, and sulfur oxidisers, yet the ecological links between benthic and
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, performing exposure studies and detailed analytical measurements such as novel single particle and single cell ICP-MS. Full training and mentoring will be provided in all aspects of the work, including project
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-Making and Route Optimisation: Develop adaptive algorithms within a bias-aware ensemble Kalman filter framework to propose alternative flight paths dynamically. The system will aim to maximise safety and