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rely on unsustainable materials and on carbon-intensive manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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consumption by 2030 and carbon-zero emissions by 2050. Ensuring the safe, sustainable operation of hydrogen storage and delivery systems, including the integrity of storage containers and pipelines, is
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+2 - covering 2 years of study for current postgraduate researchers Please see Additional Information the +2 application process. Tenable period Studentships available for both part-time and full-time
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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.