427 computing-"https:"-"https:"-"https:"-"UNIVERSITY-OF-BUCHAREST" PhD positions in United Kingdom
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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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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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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
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be made online . Under programme name, select * Mechanical and Manufacturing Engineering’* Please quote the advertised reference number: * FP-LJ-MTC/26* in your application. Applications must include a
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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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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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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