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13040 results for: ‘museum studies’

  • College of Science and Engineering (CSE)

    LeMID (Leicester Microbial Sciences and Infectious Disease) academic staff members from the College of Science and Engineering (CSE).

  • What is a systematic review?

    An introduction to systematic literature reviews including definition and process

  • Science storyteller is honoured by the University of Leicester

    An expert who helps journalists navigate complex science stories has been honoured by the University of Leicester.

  • Introduction to Finance

    Module code: AF1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Before you arrive

    Checklists for what to bring to university – your accommodation, how to register, getting to Leicester, budgeting, and starting your studies.

  • A day in the life of an animal technician

    Read more about what a day is like for an animal technician in our DBS facility at Leicester.

  • What can Critics of Management and Critics of Economics learn from each other?

    Posted by in School of Business Blog on February 19, 2014 Neil Lancastle, one of the School’s current PhD students, brings his experience of curricular reform in economics to bear upon the promises (and problems) of being “critical” in a School of Management.

  • Jennifer Smith Maguire

    Jennifer is Senior Lecturer in Cultural Production and Consumption. Her research focuses on the intersection of processes of cultural production and consumption in the construction of markets, tastes and value.

  • Medical Biosciences (Microbiology) MBiolSci

    Infectious diseases are responsible for a third of all deaths and are a major cause of death in infants and young children. The sheer diversity of pathogens and the exotic mechanisms they have evolved to escape the human immune system make them a fascinating topic to study.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

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