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24469 results for: ‘SpyNote 7.0 破解版✅项目合作 二开均可 TG:saolei44✅.nCYuQFvBOZLh’

  • Donations and transfers

    This page contains information about how to prepare material you would like to donate or transfer to us and what else is involved.

  • Diet and pregnancy case study

    Epigenetics, diet and pregnancy is a complex topic, but we've got the relevant resources to aid your learning.

  • Funding spotlight MRC DPFS

    Dr Tim Hammonds: Applying to the MRC Developmental Pathway Funding Scheme (DPFS) Having recently joined the MRC DPFS panel I can share with you some of the things I have learned about applying for and successfully achieving funding for translational programs in this health...

  • University of Leicester showcases ground-breaking research to Executive Chair of Research England

    The Executive Chair of Research England, Professor Dame Jessica Corner, visited the University of Leicester to meet with key researchers and women leaders from across the institution.

  • Queer Heritage and Collections Network awarded Arts Council England and National Lottery Project Funding

    Read more about the Research Centre for Museums and Galleries' latest project on queer heritage

  • University of Leicester outlines next steps in Strategic Review

    The University of Leicester has launched a formal consultation on proposals aimed at strengthening its financial sustainability and future success.

  • John Goodwin

    The academic profile of Professor John Goodwin, Professor of Sociology and Sociological Practice at University of Leicester

  • More than 50 years of Leicester in space

    In World Space Week we reflect on the University of Leicester’s long history of making out of this world discoveries.

  • Culture sector backs trans inclusion guidance for museums, galleries, archives and heritage

    Trans-inclusive Culture: Guidance on advancing trans inclusion for museums, galleries, archives and heritage organisations

  • Artificial Intelligence tool successfully predicts fatal heart rhythm

    In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.

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