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the University of Birmingham. The studentship will develop structure-property relationships in disordered cobalt-free lithium-ion and sodium-ion battery cathode materials. The cathode represents
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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research relationship developing between the University of Nottingham and ITP Aero UK. The studentship will be hosted at the Institute for Aerospace Technology at the University of Nottingham and the
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response have led to targets for reducing overflow frequency, ecological harm, visual impacts, and protecting bathing water. This PhD project has been co-developed with four UK water companies and the
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, Ramaglia V. An “outside-in” and “inside-out” consideration of complement in the multiple sclerosis brain: lessons from development and neurodegenerative diseases. Frontiers in Cellular Neuroscience. 2021 Jan
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
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project at the CNNP Lab . The aim of ACORN is to understand the role of biological rhythms (chronobiology) in epilepsy and develop time-adaptive therapies. This project is funded by UKRI and is a
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering