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Funding for postgraduate students
Information about sources of funding available to postgraduates at Cambridge.
www.student-funding.cam.ac.uk/
Cambridge Bursary Scheme
The Bursary is free financial support of generally up to £3,500 a year for full-time undergraduate students, to help with your Cambridge fees or living costs. Like a scholarship or grant, the payment is non-refundable – you don’t need to pay it back.
Higher amounts are available for medical students in their clinical years, independent students including care leavers, and students who were eligible for free school meals.
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Sean O’Neill – Page 2
https://ccaim.cam.ac.uk/author/so424/page/2/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Sean O'Neill. 29 April 2020. by Sean O'Neill. Sarah Teichmann, a Principal Investigator for CCAIM and Head of Cellular Genetics at the Wellcome Sanger Institute, is recognised for her pioneering -
Dr Thomas Callender – Page 2
https://ccaim.cam.ac.uk/author/thomas-callender/page/2/23 Feb 2024: The inaugural CCAIM AI Clinic took place on 10 November 2022 – this was an in-person event exclusively for Cambridge based clinicians. ... Find out more here. In their paper, Changhee Lee, Alexander Light, Evgeny …. 11 July 2022. by Dr Thomas -
https://ccaim.cam.ac.uk/tag/iclr/feed/
https://ccaim.cam.ac.uk/tag/iclr/feed/21 Feb 2024: CCAIM https://ccaim.cam.ac.uk Novel AI to transform healthcare Fri, 18 Feb 2022 11:56:58 0000 en-GB hourly 1 https://wordpress.org/?v=6.2.4 ... ICLR 2022), the premier conference dedicated to the advancement of deep learning/strong./p pTaking place -
Papers Archive: Precision Medicine
https://ccaim.cam.ac.uk/papers-archive-precision-medicine/23 Feb 2024: AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis (IEEE, February 2022). ... Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank (medRxiv, January 2022). -
Precision medicine
https://ccaim.cam.ac.uk/personalised-care-and-management/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Precision Medicine. The range of data clinicians need to engage with and synthesize is expanding exponentially. Support tools such as machine learning platforms, deep learning and novel AI -
Papers Archive: Biomedical Discovery
https://ccaim.cam.ac.uk/papers-archive-biomedical-discovery/23 Feb 2024: Guest Editorial: Non-Euclidean Machine Learning (IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2022). ... Voices on technology: The molecular biologists’ ever-expanding toy box (Molecular Cell, January 2022). -
Clinical Summer School
https://ccaim.cam.ac.uk/cambridge-ai-in-medicine-summer-school/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Cambridge AI in Medicine. Summer School. For physicians, medical students, and other clinicians. From 9 to 13 September 2024, the Cambridge Centre for AI in Medicine invites you to the first -
Revolutionising Pharmacological Predictions: How Synthetic Model…
https://ccaim.cam.ac.uk/revolutionising-pharmacological-predictions/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Revolutionising Pharmacological Predictions: How Synthetic Model Combination (SMC) Could Change the Game for Drug Development. 24 May 2023. by Andreas Bedorf. SMC builds a new ensemble weighting -
Mihaela van der Schaar at ICML 2020
https://ccaim.cam.ac.uk/mihaela-van-der-schaar-at-icml-2020/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Mihaela van der Schaar at ICML 2020. 12 July 2020. byThe lab led by the Director of the Cambridge Centre for AI in Medicine, Professor Mihaela van der Schaar, has had 7 papers accepted for ICML -
Cutting-Edge Clinicians: Machine learning will make organ allocation…
https://ccaim.cam.ac.uk/cutting-edge-clinicians-alexander-gimson/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Cutting-Edge Clinicians: Machine learning will make organ allocation more equitable in the UK. 2 June 2021. by Navneet Gidda. Dr. Alexander Gimson is leading Britain’s national team dedicated
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