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15264 results for: ‘【2025新ui】全开源短剧影视直播APP H5 小程序 带代理采集会员✅项目合作 二开均可 TG:saolei44✅.peyLXPSLGC’

  • Academic staff

    View the academic team working within English at Leicester. Explore staff profiles, research interests and contact details.

  • About us

    Learn more about how the diverse collections at the Botanic Garden and the Attenborough Arboretum supports teaching and research at the University of Leicester.

  • The Paediatric Intensive Care Audit Network (PICANet)

    The Paediatric Intensive Care Audit Network (PICANet) is a national and international audit collecting data on all children admitted to a paediatric (children's) intensive care units and transport organisations.

  • Building and Enriching Shared Heritages Project

    ‘Building and Enriching Shared Heritages’ was an AHRC funded project to build relationships between the School of History at the University of Leicester and local community groups who are researching history under the Heritage Lottery Fund (HLF) ‘All Our Stories’ scheme.

  • The Future of Work

    Module code: MN1013 We are living through a revolution in the world of work.  The main forces of change, such as automation and globalisation, have been building for several years and appear to have accelerated after the COVID-19 pandemic.

  • Leicester researcher wins National Hate Crime Award

    Dr Stevie-Jade Hardy from our Centre for Hate Studies based at our Department of Criminology has won the ‘Research and Innovation Upstander’ award category at the National Hate Crime Awards.

  • First Principle - Schedule 2

    View the first principle of schedule 2 of the data protection principles.

  • Introduction to Functional Data Analysis

    Module code: MA3202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA4202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA7202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

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