418 computer-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" PhD positions in United Kingdom
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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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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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, please select Loughborough and select Programme Design or Creative Arts (select the programme your research falls under). Please quote the advertised reference number SRP-26 in your application. To avoid
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select Programme Design or Creative Arts (select the programme your research falls under). Please quote the advertised reference number IDA26 in your application. To avoid delays in processing your
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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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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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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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and further details about the programme, supervisors and timetable. Closing date for applications: Friday 6th March 2026 Interviews will be held for shortlisted candidates in late April 2026.
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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