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  • Being humane

    Humane responses to the ‘migration crisis’ are to be explored at an event organised by a Leicester academic and taking place at Leicester Cathedral.

  • Making Sense of the Past (Critical Thinking in Archaeology)

    Module code: AR1010 This module focuses on how we make sense of archaeological evidence. It looks critically at the processes that we go through to take the evidence we excavate and turn it into the narratives and interpretations we present about the past.

  • Freemen's Common

    Freemen's Common is part of The City accommodation and provides a welcoming neighbourhood to live, study and socialise just a 5 minute walk from the main University campus. Students can take advantage of a games area, cinema suite, café/bar and plenty of open spaces.

  • Archaeology of Urbanism

    Module code: AR3552 Archaeology is well placed to provide a lot of information about towns and cities.

  • Clinical Skills 2: Developing Cardio-Respiratory Practice

    Module code: PH2002 During this module, you will continue to develop the professional practice skills you gained during your first year at Leicester, particularly focusing on those utilised during cardio-respiratory practice.

  • Art in the Public Realm

    Module code: MU7030 Module Outline This module aims to encourage students to explore and critically reflect on the historical development of the art museum and the contemporary contexts within which they exist.

  • Practice Placement 2

    Module code: RA2005 Throughout this module you will build on previously developed skills within the clinical setting to ensure the best outcome for the radiology patient.

  • Tuberculosis projects

    Browse details of the available Tuberculosis PhD projects within Infection, Immunity and Inflammation at the University of Leicester.

  • Practice Placement 2

    Module code: RA2005 Throughout this module you will build on previously developed skills within the clinical setting to ensure the best outcome for the radiology patient.

  • Fundamentals of Data Science

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