124 computer-science-intern "https:" "https:" "https:" "https:" uni jobs at University of Sheffield
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international opportunity in Year 2 or 3 of the programme, including opportunities to visit a world-leading facility, conference or forum and explore the global context of industrial decarbonisation. A work
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, Statistics, Data Science etc. Essential Application & Interview A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics
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chemical engineering, chemistry, bioscience or a related technical subject. If English is not your first language then you must have an International English Language Testing System (IELTS) average of 6.5
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complex information to non-experts. Liaise with the Sheffield project team and external IKC partners, building internal contacts and developing external networks to promote engineering and research activity
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Masters level with any undergraduate degree (or international equivalents) in Engineering, Physics, or a related subject, we would like to hear from you. If your first language is not English, you will be
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must have an International English Language Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https
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to website: https://sheffield.ac.uk/biosciences/people/academic-staff/henry-h-roehl Eligibility: Open to International (including EU) and UK (home) students. You can apply if you have, or are expecting to gain
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across structural biology and drug discovery. For informal enquiries about the project, please contact Dr Erin Cutts Link to website: https://sheffield.ac.uk/biosciences/people/academic-staff/erin-cutts
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opportunity for a postdoctoral researcher to contribute to a high-quality in vivo research programme in stem cell and vascular biology with direct relevance to tissue regeneration and inflammatory disease. Led
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training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as