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coordination capabilities essential for operations in complex urban environments. With advancements in 5G mobile networks, Artificial Intelligence (AI)-driven navigation, Internet of Things (IoT) connectivity
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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potential of this technology. This is exactly what this PhD project is about. Depending on your interests and skills, you will be working on one or more of the following research challenges: Using fluid
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘Electrical and Electronic Engineering PhD (full time)' as
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) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is problematic for both clinicians and patients. The PhD provides an opportunity to develop
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with experimental virologists to validate computational predictions Impact and Outlook: This project will uncover the untapped structural and functional potential of bovine UL-CDRs, laying the groundwork
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your programme of study: · search for the ‘Course Title’ using the programme code:8209F · Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need
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name & email address Dr Tong Zhang: T.Zhang1@leeds.ac.uk Project summary A fully funded PhD opportunity is now open to students worldwide who aim to advance the research in integrated energy systems
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concepts to help the sector achieve net-zero emissions by 2050, as required by the Paris Agreement. This project, integrated in the EPSRC Fellowship VERA, brings together leading organisations – including