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  • Bioinorganic Chemistry

    Module code: CH7308 This lecture course will introduce you to the roles of various elements in biological systems. In particular, you will focus on studying elements that are not considered to be the constituents of living matter.

  • Biochemical Mechanisms of Human Disease

    Module code: MB3001 This module will be centred on the experimental approaches used to investigate a range of human diseases.

  • Biochemical Mechanisms of Human Disease

    Module code: MB3001 This module will be centred on the experimental approaches used to investigate a range of human diseases.

  • Events

    Find out more about the upcoming and past events organised by the Covid in Cartoons team

  • Toolkit to tackle potentially deadly opioid over prescription to be rolled out across parts of England

    Leicester researchers are working with NHS partners in the East of England to lead the way in delivering the NHS’ goal of halving the amount of opioids prescribed for non-cancer pain by 2024.

  • Leicester Presessional English Test FAQs

    Leicester Presessional English Test FAQ's

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Chemical in red grapes may help prevent bowel cancer

    Resveratrol, a chemical found in red grapes, is more effective in smaller doses at preventing bowel cancer in mice than high doses, according to new research published in the journal Science Translational Medicine.

  • Project to challenge marginalisation of women in video game industry

    The marginalised status of women in the video game industry will be challenged by a new international research project involving Dr Alison Harvey from the Department of Media and Communication.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

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