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Showing 991 - 1000 of 3792 results for "https"
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https://sheffield.ac.uk/management/people/academic-staff/esib/david-littlewoodPhD MA BSc (Hons), SFHEA. Management School. Senior Lecturer in Strategic Management. Open staff member portrait in a modal window. Room E017, Sheffield University Management School. Full contact details. Dr David Littlewood. Management School. Room
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https://sheffield.ac.uk/city-region/enhancing-cultural-vibrancy/snapshot-beer-industry-sheffield-city-regionSheffield has retained its position as the real ale capital of the world, with the thriving brewing industry driving tourism and regeneration in the steel city.
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https://sheffield.ac.uk/migration-research-group/our-work/everyday-bordering-uk‘Everyday Bordering’ project aims to work with social care organisations supporting migrant families in the north of England. The research team will explore how staff support migrant families, and the experiences of the migrant families that
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https://sheffield.ac.uk/bnbr-life-centre/christian/church-search/methodistContact: Judith Jessop (@Nether Green Methodist Church, S11 7EH and @ https://www.facebook.com/Gatherings-409316652494101).
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https://sheffield.ac.uk/geography-planning/news/rethinking-human-rights-age-anthropoceneSouth Atlantic Quarterly, 116(2), pp.345–362. doi:https://doi.org/10.1215/00382876-3829445. Davis, H. and Todd, Z. ... Available at: https://acme-journal.org/index.php/acme/article/view/1539/1303 [Accessed 7 Feb. 2024]. Kotzé, L.J. (2019). The
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https://sheffield.ac.uk/english/undergraduate/blog/undisciplining-victorian-womenOver June and July, another student and I participated in a project called ‘Undisciplining Victorian Women’, run by Dr Amber Regis and Dr Anna Barton to develop two modules, EGH31011 Middlemarch and EGH218008 Victorian Women Poets: Stressing Sex.
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https://sheffield.ac.uk/muses-mind-machine/research/creative-action-interactionIn Frontiers in Education, 5, https://doi.org/10.3389/feduc.2020.00011. Meissner, H., Timmers, R., & Pitts, S.
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https://sheffield.ac.uk/news/cloud-based-ai-helps-reduce-river-pollutionA cloud-based artificial intelligence (AI) system designed to detect blockages in sewers has shown an almost 90 per cent accuracy rate in a recent trial.
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https://sheffield.ac.uk/library/open-access/open-educational-resources/oer-case-studiesLearn more about the experiences of staff across the University of Sheffield involved in creating, using and sharing open educational resources.
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https://sheffield.ac.uk/mps/people/all-academic-staff/jennifer-burnhamSee http://www.rsc.org/suppdata/dt/b2/b207192d/.