Search

14268 results for: ‘CONTACT COLASHIP.SHOP TO ’

  • MedDIaLeCt

    https://le.ac.uk/cls/cls-equality/medrace/medrace-plus/meddialect

    Meddialect is a working group to support staff and students Leicester Medical School with disability and long term conditions

  • Biggest ever Festival of Careers underway

    https://le.ac.uk/news/2016/october/biggest-ever2019-festival-of-careers-underway

    The fifth annual Festival of Careers kicked off at our University this week, with hundreds of graduate employers due to visit the campus from 3 - 7 October 2016, including Airbus, Nationwide, Jaguar Land Rover, Sky and IBM.

  • University of Sanctuary

    https://le.ac.uk/engagement/case-studies/uni-of-sanctuary

    The University of Leicester is committed to offering support and sanctuary to refugees and asylum seekers from around the world and in so doing, helping them to change their lives for the better.

  • New database could accelerate research into brain-related conditions

    https://le.ac.uk/news/2023/march/database

    The University of Leicester has co-launched the first database of its kind to help researchers look into the causes of neuro-degenerative diseases and their treatment.

  • PGR Careers blog University of Leicester

    https://staffblogs.le.ac.uk/pgrcareers/2014/09/05/which-tennis-ball-am-i-chasing/

    PGR Careers blog from the University of Leicester

  • Finance

    https://le.ac.uk/policies/finance

    .

  • Advanced Electrical Machines

    https://le.ac.uk/modules/2026/eg4211

    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.

  • Katie Moylan

    https://le.ac.uk/people/katie-moylan

    The academic profile of Dr Katie Moylan, Associate Professor at University of Leicester

  • Advanced Electrical Machines

    https://le.ac.uk/modules/2027/eg4211

    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

    https://le.ac.uk/modules/2025/eg4211

    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.

Back to top
MENU