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Field
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Funding amount Standard UKRI stipend, RTSG, Fees Covered. The project: Tracking and controlling the spread of emerging pathogens using sequentially collected data is a critical challenge in public
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conditions. This project aims to develop a new control framework that enables embodied decision-making in autonomous swarms, allowing them to operate with resilience, reliability, and adaptability. The work
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Methods In this project we want to provide a better understanding of how cloudiness affects, and is affected by, environmental factors called “cloud controlling factors”. Success of this goal will be
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have been the mainstay of infection control but with resistant strains on the increase, alternative strategies need to be considered such as host-directed therapies. These focus on how to modulate
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to semi-automate or fully automate quantification of experimental data with relevant checks for robustness, accuracy, and precision. Alternate pulse sequences/acquisition parameters to increase throughput
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Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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that suppress resistance gene transfer. Combining biophysics, microbiology, and materials science, the project will generate insights into how physical environments can be harnessed to control AMR. Approach and
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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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challenge that needs to be overcome. By understanding and controlling how small droplets dissolve and feed the growth of larger ones, we can design systems with finely tuned size, stability, and function