488 computational-physics-"https:"-"https:"-"https:"-"https:"-"University-of-Limerick" PhD positions in United Kingdom
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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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environment based on the synergies the expertise of analytical, medicinal and physical chemists, cancer biologists and clinicians to enable new route for nanotherapeutics treatments based on the targeted
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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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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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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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competitive process. Eligibility and how to apply This studentship is available for UK nationals, or in exceptional circumstances international applicants where the candidate has a strong application
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. Essential skills: Candidates must possess or expect to obtain a 1st or 2:1 degree in either engineering, physics, chemistry, materials science, or a related discipline. Desirable but not essential skills
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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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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing