1,275 development-"https:"-"https:"-"https:"-"European-Commission"-"UCL" PhD positions
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sustain the widespread adoption of electrical vehicles in an environmentally friendly and ethical way. A radical approach to how electrical motors is developed, combined with emerging material technology
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below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with development of high strength aluminium alloys designed to provide better
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The majority of Australia’s urban land is already developed as low-density suburbs, leaving limited opportunities for new affordable housing without disrupting existing communities. At the same time, community
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With support from its “Special Research Fund” (BOF) Ghent University grants PhD “sandwich” scholarships to promising PhD students from Global South countries who wish to carry out half of their PhD research at Ghent University ('North') and half at a university in the Global South ('South')....
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a highly motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System
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27th April 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in “Development of Probabilistic Reliability Criteria in Distribution Grids
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Cranfield University is excited to invite applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA sensors with community scientists for the rapid
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-disciplinary approach that integrates design, technology and management expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base
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About the project: Developing a Theory of the Magnetic Fingerprint of Stress in Materials Supervisor: Dr Chris Patrick, University of Warwick In the development of sustainable materials and
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developing reliable behavioural markers of uncertainty during decision-making training, which can then be used to enhance trainees’ metacognitive awareness of peak uncertainty to benefit downstream outcomes