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13034 results for: ‘museum studies’

  • Martin Parker: Page 2

    Professor of Culture and Organisation.

  • Gary Izunwa

    After graduating Gary started my career at LinkedIn as one of nine Associates on their Business Leadership Programme.

  • COVID-19 up to twice as likely to infect people of Black and Asian ethnicity

    According to researchers at the Universities of Leicester and Nottingham, COVID-19 up to twice as likely to infect people of Black and Asian ethnicity

  • Trees and Bees

    Plant and Pollinator Policy Our Plant and Pollinator Policy (PDF, 174KB) aims to enforce the importance of biodiversity on campus for students, staff and the wider public that provides significant social, wellbeing, capital, economic returns, wildlife and...

  • Dr Kathy Burrell

    Dr Kathy Burrell is a Reader in Migration and Material Culture at De Montfort University, Leicester. She teaches modules on ethnic and immigration history and Polish history.

  • Experts to explore what a good Brexit is for city and county

    The roadmap to Leicester and Leicestershire’s post-Brexit prosperity is to be explored at a meeting of minds organised by our University that will see professional and academic expertise, and the general public answer the question: ‘What would a good Brexit look like for...

  • The term “antimicrobial resistance” has little meaning to the public and should be renamed

    The public is failing to take antimicrobial resistance seriously and it could all be down to the scientific terminology used.

  • New resource to improve access to medical information

    A new Leicester initiative is providing access to reliable information in the field of cardiometabolic medicine.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

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