82 programming-"https:"-"Ikerbasque---Basque-Foundation-for-Science" "https:" PhD positions in United Kingdom
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to the delivery of the Chair’s programme. More information on the UNESCO Chair in Storytelling Education for Sustainability can be found here: https://www.lboro.ac.uk/schools/design-creative-arts/unesco-chair
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students. https://www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/fee-status/ . Eligibility: You must possess
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. Funding: Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students. Find out more about fee status at: https://www.imperial.ac.uk/study/pg/fees-and
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status at: https://www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/fee-status/ . Eligibility: Due to the competitive nature of our studentships, candidates will be expected to achieve/have
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September 2026 or January 2027. The WLS PhD programme is set within a vibrant and supportive research environment in the heart of Central London. The School is home to several research centres and groups: We
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the global skills shortage in the rapidly expanding semiconductor, advanced materials and AI sectors. There may be an opportunity to work with leading AI companies supporting the overall research programme at
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programme combining research-led innovation with real-world industry application. Keyword Search: Consumer sensory science, immersive technology, virtual reality, emotional profiling Award Start Date: 01/10
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conducting experiments, programming experimental tasks in platforms such as oTree, analysing experimental data using statistical and econometric software (e.g., Python, R, Stata), and reporting experimental