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work together with the PhD candidate. Applicants are encouraged to familiarize themselves with our existing publications . In this work, there is also an expectation to be innovation-oriented, to help us
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help
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in computer vision would be beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we value. Applicants with alternative qualifications, industry
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Supervisors: Dr Lukasz Figiel, Warwick Manufacturing Group, Dr Ferran Brosa Planella, Maths Project Partner: Jaguar Land Rover Efficient batteries for automotive industry are critical for achieving
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between the RF signals and hydration levels in human tissue. The outcomes of this research will reduce the impact of dehydration in medical care, with potential applications in sports science, aerospace
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised