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Robotics and Artificial Intelligence for Net Zero is a partnership between three of the UK’s leading universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics
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in real materials behave in complex ways, and turning measurements back into quantitative information about a material’s internal state is a notoriously difficult inverse problem. This is where AI can
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per year, subject to annual increases. About the Project (Background & Methodology) Autonomous systems such as drone fleets, mobile robots, and sensor networks increasingly use federated learning (FL
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leukaemia (AML). The successful candidate will work in the laboratory of Dr. Shuchi Agrawal Singh on a project focused on understanding how aberrant function of chromatin complexes drives drug resistance in
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an exciting new dimension of these relationships: how microbes influence animal behaviour. The study system will be tortoise beetles, which carry an obligate bacterium that digests complex plant material
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capable of transforming these different textures into a bolus that is safe to swallow. As we chew, bite-size chunks are reduced to smaller particles and mixed with saliva through complex and dynamic oral
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vehicles and achieving net-zero targets, but they degrade over time, reducing performance and safety. A key issue is gas generation, which causes internal pressure build-up and can lead to cell failure, but
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applications in defence and security, and this project will be co-funded by MBDA. The main objectives of the project are: Build upon novel mathematical frameworks developed at Manchester to describe complex
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reproducible, open-source computational tools and collaborate across experimental and computational research teams to transform complex biological datasets into meaningful insights. You are not required
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of centre and periphery, this thesis will trace participation in the war from the ground up by individuals, networks, companies and colonial operators across notional imperial divides. The primary research