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24504 results for: ‘黑点云DIY商城系统✅项目合作 二开均可 TG:saolei44✅.RJQEsALWwoQlGqE’

  • Statistical Modelling (Part-time)

    Module code: MD7467 This module introduces the theory and application of linear models and survival analysis.

  • PhD student receives prestigious research grant

    A PhD student has been awarded funding to investigate the ‘fingerprint’ of organic matter in the Carboniferous Bowland Shale.

  • Statistical Modelling (Part-time)

    Module code: MD7467 This module introduces the theory and application of linear models and survival analysis.

  • Statistical Modelling (Part-time)

    Module code: MD7467 This module introduces the theory and application of linear models and survival analysis.

  • Leicester scientist recognised in national image competition

    A scientist from the University of Leicester has been shortlisted for the British Heart Foundation’s (BHF) annual ‘Reflections of Research’ image competition

  • Could female traders reduce market crashes

    Researchers in the Department of Economics at the University of Leicester have shown that increasing the proportion of female traders makes the market more volatile, but at the same time can reduce the occurrence of the most extreme crashes.

  • Gender equality in sport to be discussed by Paralympic archery champion

    Double Paralympic gold medallist and alumna Danielle Brown MBE will be returning to her alma mater to speak to staff and students about gender equality in sport to mark International Women’s Day.

  • Shaping for Excellence outcomes: statement

    Professor Nishan Canagarajah, President and Vice-Chancellor of the University of Leicester has today shared the outcomes from its 90-day consultation on its programme of change.

  • Ukrainian History Unearthed in East Midlands Oral History Archive’s Polish Collection

    Posted by Colin Hyde in Library and Learning Services on September 3, 2025 By Iona Kerstin Volynets September 05, 2025 Content warning: This article includes mentions of massacres, war, labour camps, death, and illness.

  • University of Nottingham Special Collections

    A page describing the digitisation work UOSH has done with the collections of the University of Nottingham Special Collections

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