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Field
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verification, and proof assistants. Your focus will be on developing frameworks that pinpoint and explain the root causes of failures in interacting programs - a key step towards ensuring fault-tolerance. While
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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to older residents. In collaboration with our industry partner, creator of companion robots that positively impact people’s lives, in this exciting project, you will investigate and develop novel algorithms
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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated electrification and increased use of the existing grid
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the timing of irrigation develop detection algorithms to identify signals in cloud and precipitation properties during periods of irrigation activities analyse interactions between irrigation, clouds, and
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, programming and algorithm development, automation and online analytics. This project would be ideal for an ambitious and innovative researcher who enjoys working in a diverse and interdisciplinary team and is
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of flow behaviours. This challenges the design and substantiation of such systems. A new and versatile experimental facility has been developed by the Thermo-Fluids group at the University of Manchester
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the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking