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Showing 1381 - 1390 of 3813 results for "https"
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https://sheffield.ac.uk/news/pioneering-data-and-ai-advancements-helping-deliver-nhss-future-visionThe University of Sheffield is pioneering advancements in data and artificial intelligence (AI) to improve healthcare and tackle health inequalities and will play a critical role in helping the government deliver its new 10-year plan for the NHS.
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https://sheffield.ac.uk/media/36220/download?attachment8 http://www.moray.gov.uk/moray_standard/page_49552.html 9 https://www.curamtiree.co.uk/Meals-on-Wheels/ 10 https://www.buteadvice.org.uk/untitled-c20s2, ... The Council hoped that. 20 https://www.gov.scot/news/coronavirus-food-fund/. ......
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https://withus.com/cookies/Use of Cookies This website uses cookies to better the users experience while visiting the website. Cookies are small files saved […]
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https://sheffield.ac.uk/media/29495/download?attachmentfollowing the procedure outlined at https://www.sheffield.ac.uk/rpi/pgr/examination/submission and inform their supervisor when they have done so. ... Further guidance on the viva examination is available at...
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https://sheffield.ac.uk/media/36226/download?attachment4 http://www.moray.gov.uk/moray_standard/page_45710.html 5 https://www.nrscotland.gov.uk/files/statistics/council-area-data-sheets/moray-council-profile.html 6 ... 14. 11 http://morayfoodplus.org.uk/final-povery-strategy-action-plan.pdf 12...
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https://sheffield.ac.uk/media/83896/download?attachment2. https://www.cgi.org.uk/knowledge/governance-and-compliance/features/comply-explain-uk-corporate-governance-code. 1.
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https://sheffield.ac.uk/media/22953/download?attachmenthttps://github.com/enki-community/enki. [29] M. Gauci, J. Chen, W. Li, T. J. Dodd, and R.
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https://sheffield.ac.uk/news/energy-starved-breast-cancer-cells-consume-their-surroundings-fuelEnergy starved breast cancer cells ingest and consume their surroundings to overcome starvation, a new study has found.
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https://sheffield.ac.uk/cs/news/new-research-project-address-challenges-ai-law-and-healthcareAcademics from Computer Science and the School of Law are part of a research team that has been awarded a £4.38 million grant to tackle the sociotechnical challenges around using AI-powered Large Language Models (LLMs) for legal & healthcare
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https://sheffield.ac.uk/media/11294/downloadThe study website (http://www.shef.ac.uk/scharr/sections/dts/ctru/hubble) will publish a summary of the results following completion of the study.