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  • 10th March 2014 Sol 565

    Posted by jbridges in Mars Science Laboratory Blog on March 10, 2014 We are having a set of drive-only sols, to reach our next Waypont Kimberley in the next few days.  At Kimberley we may do our third drill hole.

  • Research

    History at the University of Leicester has a longstanding reputation for excellence in historical research. Our academics have a broad range of research expertise covering a wide chronological and geographical range. Find out more.

  • Black Lesbian and Gay Centre Digital resources 

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on November 17, 2023 Free access via the Bishopsgate Institute to newsletters and publications from this London-based support group.

  • New teaching resources to support students’ learning

    Posted by Steve Rooney in Leicester Learning Institute: Enhancing learning and teaching on October 24, 2016 We’ve recently added new resources to our learning development teaching resource page .

  • Study reveals new associations with lung disease and smoking behaviour

    Smokers who survive their habit into old age may hold the key to better lung health for all, according to a study involving co-led by Professor Martin Tobin (pictured) from the Department of Health Sciences and funded by the Medical Research Council (MRC).

  • Global Dust Storm on Mars July 9th 2018, Sol 2105

    Posted by jbridges in Mars Science Laboratory Blog on July 9, 2018 We are experiencing the most intense global dust storm on Mars since 2001.

  • Sol 1 Monday 7th August

    Posted by jbridges in Mars Science Laboratory Blog on August 7, 2012 Mars Reconaissance Orbiter Image of Curiosity Descent. Good news from ChemCam PI Roger Wiens ‘All Systems are Go’.

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Training and development

    The AMF staff train users from across the university and industry in operating the electron microscopes and sample preparation techniques.

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