648 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" scholarships in United Kingdom
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This studentship offers a rare and exciting opportunity to undertake applied research within an elite performance sport setting in partnership with Aquatics GB. Aligned with Aquatics GB’s vision to be at the forefront of supporting female performance, the project will explore how female...
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. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral
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sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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world-class training programme combining research-led innovation with real-world industry application. Students will receive high-level entrepreneurial training provided by Haydn Green Institute, bespoke
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2026 or within 28 days of receiving your offer (if this is a later date). We appreciate some offers may take longer to be provided to applicants (for example if applying for a programme requiring an
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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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April 2026 (5pm GMT) Outcomes notified: Mid-May 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s College London, quoting the funding code 2627AHCDA. Funding
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. How to Apply: All applications should be made online . Under programme name, select Electronic, Systems and Electrical Engineering. Please quote the advertised reference number: FP-SA26-CP in your
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are looking for an enthusiastic, self-motivated candidate with a 1st or high 2:1 degree in robotics, computer science, physics, mechanical engineering, electrical and electronic engineering or a related field