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  2. New York Stem Cell Foundation - Robertson Investigator | For staff

    https://www.staff.admin.cam.ac.uk/awards/new-york-stem-cell-foundation-robertson-investigator
    Thumbnail for New York Stem Cell Foundation - Robertson Investigator | For staff 22 Oct 2019: The mission of The New York Stem Cell Foundation (NYSCF) is to accelerate cures for the major diseases of our time through stem cell research. ... move beyond their postdoctoral training to establish their own, independent research.
  3. Join Us

    jefferislab.org/jefferislabwebsite/join/
    21 Oct 2019: It will be very helpful if you at least one of your referees is a former research supervisor. ... University of Cambridge students: We have hosted Part II Neuroscience, Part III Biochemistry and Masters students in the past.
  4. CHAPTER XI : UNIVERSITY OFFICES AND GRANTS OF TITLE - SPECIAL…

    https://www.reporter.admin.cam.ac.uk/univ/so/2019/chapter11-section3.html
    1 Nov 2019: Statutes and Ordinances of the University of Cambridge. Preceding: Chapter X. Following:CHAPTER XI. pp. 706–778. UNIVERSITY OFFICES AND GRANTS OF TITLE. Previous section:Section 3. SPECIAL REGULATIONS FOR UNIVERSITY OFFICERSpp. 706–778.
  5. Introducing the Gates Cambridge Class of 2019

    https://www.cam.ac.uk/stories/gates-2019
    Thumbnail for Introducing the Gates Cambridge Class of 2019 11 Apr 2019: Aisha plans a career with one foot in research and another in medicine. ... For her undergraduate thesis in neuroscience and neurodegenerative disease, she is using mouse models to research the role of the protease, cathepsin K, in the choroid plexus, a
  6. ‘Mindreading’ neurons simulate decisions of social partners |…

    https://www.cam.ac.uk/research/news/mindreading-neurons-simulate-decisions-of-social-partners
    Thumbnail for ‘Mindreading’ neurons simulate decisions of social partners | University of Cambridge 12 Apr 2019: Our selection of the week's biggest Cambridge research news sent directly to your inbox. ... Email. I wish to receive a weekly Cambridge research news summary by email.
  7. Reading in an age of digital distraction | University of Cambridge

    https://www.cam.ac.uk/news/reading-in-an-age-of-digital-distraction
    Thumbnail for Reading in an age of digital distraction | University of Cambridge 3 May 2019: The idea draws from neuroscience - research showing the brain’s ability for neuroplasticity and therefore how our behaviours are to some degree mouldable. ... His research focuses on different forms of reading. He asks people about their different
  8. César Milstein Lecture to be given by Pietro De Camilli - MRC…

    https://www2.mrc-lmb.cam.ac.uk/cesar-milstein-lecture-to-be-given-by-pietro-de-camilli/
    Thumbnail for César Milstein Lecture to be given by Pietro De Camilli - MRC Laboratory of Molecular Biology 26 Feb 2019: Pietro is currently the John Klingenstein Professor of Neuroscience and Professor of Cell Biology at Yale University School of Medicine. ... He developed an early interest in immunology, and his research concentrated on antibody structure and diversity.
  9. Layout 1

    https://www.cam.ac.uk/system/files/guidelines_v8_december_2019.pdf
    6 Dec 2019: Wellcome Trust/Cancer Research UKGurdon Institute of Cancer andDevelopmental Biology. Department of Zoology. ... the universe are just two activities within a wide array of research programmes.
  10. OFFICERS IN INSTITUTIONS PLACED UNDER THE SUPERVISION OF THE GENERAL…

    https://www.reporter.admin.cam.ac.uk/reporter/2018-19/special/05/section3.shtml
    5 Mar 2019: 1995. Nicholas Barry Davies, PEM. Behavioural Neuroscience (2009). 2009. Angela Charlotte Roberts, G. ... James Benedict Rowe, DAR. Cognitive Neuroscience. 2018. Richard Nevill Henson. Cognitive Psychology, MRC Research.
  11. Jonathan So - 2019 Cohort | Harding Distinguished Postgraduate…

    https://www.hardingscholars.fund.cam.ac.uk/jonathan-so-2019-cohort
    15 Oct 2019: Research interests . 1. Probabilistic machine learning. 2. Computational neuroscience. In my doctoral research I will investigate how we can learn useful probabilistic representations from data in a fully unsupervised manner, given ... I will look to to

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