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pays UKRI Home Tuition Fees (£5,238 for 2026/27) for PhD students. The award pays full maintenance for all students both home and international. The UKRI Doctoral Stipend for 2026/2027 is £21,805, plus a
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Placed On: Northampton Square, London, EC1V 0HB, UK Closes: 31st August 2026 Applications are invited for a PhD studentship in the Department of Computer Science at City St Georges, University
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design. The project will have a strong empirical component. The PhD student will work with behavioural data, immersive experimental environments, and human-centric sensing technologies such as eye-tracking
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
to find out more about applying for a PhD programme at Royal Holloway within their field of interest. You may also wish to explore department specific webpages to find out more. Applicants must identify a
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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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, and international studies—with cutting-edge data science techniques, including Earth Observation (EO) data analysis, machine learning, large-scale collation and analysis of survivor narratives
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21 Sep 2026 Job Information Organisation/Company Imperial College London Department Department of Physics Research Field Physics » Optics Researcher Profile First Stage Researcher (R1) Positions PhD
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Salary: Grade 5: £39,076 - £43,909 per annum; Grade 6: £45,031 - £48,607 per annum, including London Weighting About the role: This is an exciting position where the successful candidate will have
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. This position at Imperial focuses on the experimental recreation of these complex atmospheric phenomena. You will exploit three state-of-the-art facilities to recreate wind-farm/atmospheric interactions in a
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. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience with original data construction and applied causal inference on high-impact questions in