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involve close links to experimentalists with the chance to test out results at leading XFEL facilities in Europe/USA. Outcomes will include an enhanced understanding of stochastic processes like ion hops in
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to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools
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application form via https://qpl.edgehill.ac.uk/apex_qlive/f?p=PV_ONLINE_APP:101::::APP:APP_COURSE_INSTANCE:660749439 Once you have done this, please send the following items in one email to
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:660749439 Once you have done this, please send the following items in one email to graduateschooladmissions@edgehill.ac.uk quoting the studentship reference and the project title, in the subject of the email
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partners, (Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD and Alstom); and from EPSRC. The investment, over the first 5 years of operation, was approaching £10M. We are now in our eighth year of
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development, entrepreneurship, and the patenting process, further enhancing their career prospects in both academic and industry settings.
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, which are essential for safe operation in these challenging aerospace environments. You will develop robust, physics-based models to analyse failure, with a focus on understanding mechanical and
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ensures graduates are prepared to lead and accelerate aviation decarbonisation efforts from various roles in industry, academia, government, and policy. The interview process is composed of two interviews
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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viscous and elastic properties. These fluids are fundamental for a myriad of industrial processes (such as mixing of chemicals or cooling of microprocessors), however they are still not well understood due