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16078 results for: ‘A17_ASP卢松松网址导航源码程序整站下载带来路显示官方修复完整版✅项目合作 二开均可 TG:saolei44✅.KHbPlPxftAazEHy’

  • Mars Science Laboratory Blog: Academic and staff blogs from the University of Leicester: Page 25

    Academic and staff blogs from the University of Leicester

  • Catherine Sargent - International exhibitions with the V&A

    Museum Studies graduate Catherine Sargent talks about life and her career after getting her degree from the University of Leicester.

  • jbridges: Page 25

    This blog is a record of my experiences and work during the Mars Science Laboratory mission, from the preparation, landing on August 5th 2012 Pacific Time, and onwards...I will also post updates about our other Mars work on meteorites, ExoMars and new missions.

  • Advanced Solo Mechanics

    Module code: EG4116

  • Working with us

    Find out about working with us, including details about the benefits of working with the University, our SME-friendly procurement policy, and contract opportunities.

  • Surnames and the Y chromosome

    Research Fellow: Dr Turi King - Project Manager of the Impact of Diasporas on the Making of Britain and lead researcher on the Genetic Legacy of the Vikings in the North of England project In Britain, we have heritable surnames.

  • Using portable nanopore DNA sequencers to combat wildlife crime

    A team from our University has been awarded a prize for their proposal to crack down on wildlife crime using a portable DNA sequencing device, the MinION - developed by Oxford Nanopore Technologies - to read the ‘barcode genes’ of animals affected by illegal trafficking.

  • Joe Orton: 50 Years On

    The Joe Orton: 50 Years On project sought to commemorate three of Joe Orton's plays (Loot, Entertaining Mr Sloane and What the Butler Saw) on the 50th anniversary of their premieres. Find out more about the project.

  • Activities

    The minimal surfaces project has created a number of research activities, including papers, conferences, seminars and talks.

  • 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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