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  • Georgiana Grigore

    The academic profile of Dr Georgiana Grigore, Associate Professor in Marketing at University of Leicester

  • Statistical Data Analysis

    Module code: MA7206 This module explores relationships between two or more variables through regression theory and generalised linear models.

  • Computational Modelling in Neuroscience

    Module code: BS7107 You will acquire knowledge on single neuron (and compartmental) models and their integration into network models. Artificial neural networks will also be covered, including deep neural networks.

  • Music as Communication

    Module code: MS3005 This module encourages you to question ideas around music, musicality, sound and meaning by examining how music functions within culture as a form of communication.

  • Food and drink

    Find out more about food and drink outlets on campus. Alongside offers and events.

  • Biology unlikely to drive ethnic differences in COVID-19 risk for healthcare workers, study finds

    The differences in COVID-19 infection risk between ethnic minority healthcare workers and their White colleagues is likely due to home and work factors rather than biology, according to the largest and most detailed study on the subject, led by the University of Leicester,...

  • British Library project awarded new accolade

    A digital project that showcases the lives of remarkable British scientists has won a second prestigious accolade.

  • University-supported enterprise picks up regional award

    An innovative healthcare collaboration supported by the University of Leicester has been recognised with a regional award.

  • Factiva tutorials

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on December 23, 2013 Library tutorials on how to use Factiva ( http://www2.le.ac.uk/library/find/databases/f/factiva ) available. Finding newspaper articles: https://connect.le.ac.

  • Equity and Trusts

    Module code: LW3375 When a person wishes to benefit others, whether they are individuals, charities or simply 'causes', he or she may use the machinery of a 'trust'.

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