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24018 results for: ‘2023最新飞机即时通讯源码 PC Android IOS WEB四端✅项目合作 二开均可 TG:saolei44✅.GlVeJRPnyejJ’

  • Moya Burns

    The academic profile of Dr Moya Burns, Lecturer in Ecology and Environmental Science at University of Leicester

  • Wellbeing support for staff

    We provide support and advice across a range of health and wellbeing areas including: active/healthy life; emotional wellbeing; health promotion; social events/clubs; benefits and rewards; and positive environment.

  • Hoa Do

    The academic profile of Dr Hoa Do, Associate Professor in Management at University of Leicester

  • Helen O Hare

    The academic profile of Dr Helen O Hare, Lecturer in Microbiology; Programme director for BSc Medical Microbiology at University of Leicester

  • Events

    Browse information regarding full interviews with residents of Leicestershire villages regarding events such as Christmas fairs and the floods in Croft of 1932 and how they affected village life.

  • Report suggests current responses to hate crime in the UK are failing and letting down victims

    Hate crime victims throughout the United Kingdom are being let down by the Government and criminal justice agencies, according to a new report undertaken by Leicester experts in collaboration with Amnesty International UK.

  • €2 million awarded for Leicester expert’s research

    A prestigious €2 million research grant has been awarded to Dr Erin Thomas Dailey, a lecturer in the School of History, Politics & International Relations at the University of Leicester.

  • Evelyn Waugh project will be ‘one of the great monuments of twenty-first century literary scholarship’

    Praise from Times Literary Supplement for University of Leicester project to publish novelist Evelyn Waugh's entire output.

  • 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.

  • 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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