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  • New teaching resources to support students’ learning

    https://staffblogs.le.ac.uk/lli/2016/10/24/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 .

  • Medical Microbiology

    https://le.ac.uk/modules/2024/mb2020

    Module code: MB2020 This module will cover the biology of pathogens causing major infectious diseases, such as tuberculosis, cholera, diphtheria, syphilis and others.

  • Medical Microbiology

    https://le.ac.uk/modules/2025/mb2020

    Module code: MB2020 This module will cover the biology of pathogens causing major infectious diseases, such as tuberculosis, cholera, diphtheria, syphilis and others.

  • Medical Microbiology

    https://le.ac.uk/modules/2026/mb2020

    Module code: MB2020 This module will cover the biology of pathogens causing major infectious diseases, such as tuberculosis, cholera, diphtheria, syphilis and others.

  • Study reveals new associations with lung disease and smoking behaviour

    https://le.ac.uk/news/2015/september/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

    https://staffblogs.le.ac.uk/mars/2018/07/09/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

    https://staffblogs.le.ac.uk/mars/2012/08/07/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

    https://le.ac.uk/modules/2026/ma7011

    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

    https://le.ac.uk/modules/2025/ma7011

    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

    https://le.ac.uk/modules/2024/ma7011

    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).

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