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with, or keen interest in, large data sets Funding notes: This scholarship covers (UK home) tuition fees and stipend. The stipend is the national UK standard.
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In the process of laser shock peening (LSP), metallic structural components are hit by controlled laser pulses. The sudden vaporisation of material at the structural surface creates large magnitude
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behaviour and mental health. The interrelationships between these interconnected phenomena are still poorly understood, and this PhD studentship will therefore aim to develop a better understanding of the
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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the opportunity for the PhD student to lead the development of innovative simulation tools that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire
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manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings, a promising
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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applicable to other large commercial or industrial sites and aid in the decarbonisation of the UK's heating. The project is part of the Warwick Industrial Fellowships (WIF) scheme and the associated PhD
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PhD Studentship in Applied Health Research Project: Kidney disease and haemodialysis: Understanding the patient experience to improve treatment. Supervisors: Dr Amelia Hollywood and Dr Sam Bizley