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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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technology to support all patients with heart failure. Our program is co-directed by Prof Shaun Gregory (Queensland University of Technology) and Prof David Kaye (Monash University). About us QUT is a major
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career, whether in industry or academia. Please contact Prof. Isaac Chang (Isaac.Chang@brunel.ac.uk ) for an informal discussion about the project. Eligibility Applicants will have or be expected
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international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is also supervised by Prof. Dr
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sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
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network under the direction of Prof. Dr. Annie Waldherr and Prof. Hajo Boomgaarden, PhD. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication
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The SigCom research group at SnT, led by Prof. Symeon Chatzinotas, focuses on wireless and satellite communications for future 6G networks. Research includes security, IoT, unmanned aerial vehicles
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/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics