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Sudden cardiac arrest (SCA) accounts for approximately 15-20% of reported deaths in the UK. Mostly, these deaths are linked to cardiac arrhythmias. One of the most common and dangerous is Ventricular Tachycardia (VT), a rapid and unstable heart rhythm that often arises from regions of diseased...
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route to high-rate, fibre-compatible networks (Zajac et al., arXiv:2503.13775). This architecture underpinned Dr Joanna Zajac’s U.S. Department of Energy Early Career Research Award, and this PhD is a
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as
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. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will investigate AI-driven approaches
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removed before the deadline. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will
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project will define cell-cell communication pathways and gene regulatory networks involved in normal and abnormal artery formation. Key findings will be validated in developing embryos and investigated
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project will define cell-cell communication pathways and gene regulatory networks involved in normal and abnormal artery formation. Key findings will be validated in developing embryos and investigated
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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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unique opportunity to gain expertise that is highly sought after across pharmaceutical and advanced manufacturing industries. This project is part of the EPSRC CDT in Process Industries: Net Zero . The
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's