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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc
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from induced pluripotent stem cells (iPSCs) to create in vitro models for studying critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG
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Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for 3 years and includes full Home tuition fees plus a stipend of £19,215 per annum 2025
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paid. We expect the stipend to increase each year. Only Home students are eligible for funding. The start date is October 2026. The project aims to develop and optimize metal oxide aerogel materials
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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate
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catalysts. This EPSRC-funded project leverages cutting-edge X-ray spectroscopy to unlock how alkali elements can be harnessed to create powerful heterogeneous catalysts for CO₂ and hydrogen technologies. By
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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Matlab, Python and C/C++ are preferred. Strong interpersonal skills and the capacity to work and learn independently will be required. English Language IELTS 6.0 Overall (with no individual component below
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programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A
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) to characterise the lithic component of these events. Eligibility Applicants should have a first or upper second class honours degree in Geology/Earth Sciences or a similar subject and/or a relevant Masters