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contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you will collaborate with passionate minds across nine London campuses and a global network. This
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to the Net Zero targets. In consultation with the wider CDT community, the work will also include the development of a roadmap for the maturation of the technology and the processes required to have it adopted
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technologies. The candidate will work as a member of the Intelli-Ingest Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks. The Intelli-Ingest network is coordinated by the Biorobotics Institute of Scuola
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network attractors, funded by The Leverhulme Trust. This is a brain inspired project in the field of Neurodynamics. Networks of oscillators are ideal candidates for modelling patterns of functional
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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Hypersonics Doctoral Network. This network is supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles. Objectives: You will investigate
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This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero Centre (RAINZ) which is a partnership between three of the UKs leading
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. The studentship is fully funded for 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary
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attend international and national conferences to present your work and network with other scientists from across the globe. At the end of your PhD, you will be an accomplished and highly-capable scientist
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conferences, expanding your network and gaining valuable experience in scientific communication. Supervisors: Dr Isabella Guido and Dr Richard Sear Entry requirements Open to UK nationals only. Starting in