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9553 results for: ‘global learning outcomes’

  • Farewell to Professor Graham Wynn

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 22 June 2021 The School of Physics and Astronomy bids a fond farewell to Professor Graham Wynn, PVC Education and Professor of Theoretical Astrophysics.

  • 2019 news

    Browse news relating to the Division of Biomedical Services from 2019.

  • Major funding for Leicester will help find new cancer treatments

    The search for new cancer treatments in Leicester is to receive a major funding investment of up to £2 million, providing future hope for people diagnosed with the disease.

  • Greater empathy reduces problems with patient care

    Greater levels of compassion from hospital and clinical staff can reduce persistent problems with patient care says a University expert in empathy

  • Mr Emmanuel Katsogridakis

    MD, MSc, PhD, MRCS British Heart Foundation Academic Clinical Lecturer Email  ek311@le.ac.

  • Honorary and emeritus staff

    Meet the honorary and emeritus staff under the health science department at the University of Leicester.

  • New study to explore how personalised drug doses could improve quality of life for people with secondary breast cancer

    A new study by a Leicester researcher will explore how people with incurable secondary (or metastatic) breast cancer experience treatment side effects, and whether personalised drug doses could help improve their quality of life

  • Awards

    The University of Leicester is proud to have achieved external recognition for our commitment to advancing equity, diversity and inclusion through the following charter marks and accreditations.

  • Mr Emmanuel Katsogridakis

    MD, MSc, PhD, MRCS British Heart Foundation Academic Clinical Lecturer Email  ek311@le.ac.

  • Distributed and High-Performance AI Systems

    The Distributed AI Systems group provides theoretical and practical innovations in data intensive distributed systems (including clouds, HPC and quantum data centres), distributed machine learning models and self-adapting and physics informed digital twins to emulate the real...

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