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This large-scale ecological project investigates the barriers and drivers of post-fire forest recovery. With climate change and the spread of forest fires to new areas, it is important to investigate the conditions that support forest recovery after a fire. The study areas can be defined using...
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to Apply: Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing Engineering’ and quote the advert reference number ‘PARAFIT-TS-25’ under the ‘Finance’ section
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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. This cohort of students will investigate aspects of EAF steelmaking and product development using the latest suite of characterisation equipment, processing lines and digital tools, aided by
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from the Defence Science and Technology Laboratory (Dstl). Award value The Studentship covers: Stipend: at UKRI rate + London Weighting (£22,780 for 2025/26 academic year) Tuition fees: UK Home Fees for
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 1 month ago
, conducted in collaboration with BASF and Heriot-Watt University. The initial study utilised advanced flow chemistry techniques to accelerate the biodegradation of BASF-supplied polymers, employing size
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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or international conferences. The successful applicant will have a keen enthusiasm for research in fluid mechanics, with a background in Engineering, Mathematics or a related discipline. Depending on experience and
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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 science