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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application
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mechanisms , smart electroactive materials , embodied intelligence , advanced control systems , and microfabrication techniques . This PhD forms part of the new £14 million VIVO Hub for Enhanced Independent
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, with a slightly higher teaching requirement alongside the PhD studies and would particularly suit someone with an interest in future education as well as research, such as academia. Supervisors:Professor
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
-here/ to find out more about applying for a PhD programme at RHUL within their field of interest. You may also wish to explore department specific webpages to find out more. Applicants must identify a
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. The exact reasons for this remain unclear. This is an exciting project suitable for an enthusiastic and passionate PhD candidate aiming to explore the link between CF and cardiovascular/cerebrovascular health
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PhD in Chemical Engineering: Chemical looping technologies for a low-carbon energy future. Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 rate
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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motivated PhD student to join our interdisciplinary team to help address critical challenges in high-speed electrical machine design for electrified transportation and power generation. Together, we will make
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into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly motivated PhD student to join our interdisciplinary team to help address critical
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust