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How to apply: uom.link/pgr-apply-2425 No. of positions: 1 Eligible for: UK students This 4-year PhD project will be funded by DLA studentship. UK students and EU students with settled status are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate...
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help
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there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. Sponsored by EPSRC and Cranfield University, this DLA
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Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra
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, participants, materials/apparatus (if appropriate), procedure, analyses References. Please see the Guidelines for Applicants (music education) at www.rncm.ac.uk/research/programme/postgraduate for further
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complimentary computational studies to predict the intake aerodynamic characteristics and aid in the experiment design. This position is part of the CDT in Net Zero Aviation, which offers a modular, cohort-based
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collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer
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programme that was taught and examined in the medium of English, the minimum overall IELTS score is 6.5 with no score lower than 6.0 in Reading, Writing, Speaking and Listening. Please note that possession
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This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning