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  • Leicester to become first UK city to join global initiative against urban diabetes

    Leicester will join the likes of Copenhagen, Mexico City, Rome and Shanghai in becoming part of the Cities Changing Diabetes programme to tackle the dramatic rise of type 2 diabetes in urban areas.

  • Joe Ortons plays to be retyped onto single sheet of paper to commemorate 50th anniversary of his death

    To commemorate the 50th anniversary of the death of Leicester-born playwright Joe Orton, performance artist Tim Youd will retype his Collected Plays on a single sheet of paper from 20 January to 5 February 2017.

  • Primary school pupils graduate before University of Leicester students

    Primary school children stole a march on University of Leicester students after graduating from the institution at the age of just 10 and 11.

  • Praise for University’s COVID-19 response

    The University of Leicester has been recognised with a national award for its response to the COVID-19 pandemic.

  • Female-line family tree

    Every one of us, males and females alike, inherit our mitochondrial DNA (mtDNA) from our biological mother. However, only females, through birth, can pass this onto subsequent generations.

  • Forensic analysis using micro-CT

    The forensic analysis of the Greyfriars bones by micro-computer X-ray tomography (micro-CT) is the first time that this advanced technique has been applied to an archaeological investigation and was crucial to the investigation.

  • People

    Principal Investigator Professor Joanna Story School of History (js73@le.ac.uk) Project Manager Dr Pragya Vohra School of History (pv51@le.ac.uk) Co-investigators Professor Steve Brown School of Management (sb343@le.ac.

  • Advanced Electrical Machines

    Module code: EG4211 In this module we will learn how to make detailed calculations and predictions of the operation of machines under steady state and dynamic conditions, and when connected to electronic drives.

  • Advanced Electrical Machines

    Module code: EG4211 In this module we will learn how to make detailed calculations and predictions of the operation of machines under steady state and dynamic conditions, and when connected to electronic drives.

  • Finance

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