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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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data-driven machine learning methods to develop scalable and accurate novel computational tools. Further project details can be found at: https://www.sheffield.ac.uk/acse/phd/phd-position-control-theory
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