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9732 results for: ‘global learning outcomes’

  • Mathematical Physics 3

    Module code: PA3250 This module broadens your knowledge on the mathematical techniques necessary for all field of physics. This includes more advanced treatments of vector calculus and Fourier transforms, linear algebra and the calculus of variations.

  • Mathematical Physics 3

    Module code: PA3250 This module broadens your knowledge on the mathematical techniques necessary for all field of physics. This includes more advanced treatments of vector calculus and Fourier transforms, linear algebra and the calculus of variations.

  • Mathematical Physics 3

    Module code: PA3250 This module broadens your knowledge on the mathematical techniques necessary for all field of physics. This includes more advanced treatments of vector calculus and Fourier transforms, linear algebra and the calculus of variations.

  • Digital

    Module code: MU7557 This module focuses on how to use digital media purposefully and creatively in museum contexts.

  • Professional services staff

    Meet the School of Business professional services staff. Browse our Student Services and Business Operations teams and find out how to contact us.

  • Whose Reality?

    Posted by Martin Coffey in Postgraduate Researcher Careers on April 22, 2020 Although having a number of social media accounts, I seldom post on them.

  • UK-born UK healthcare workers more likely to report multiple long-term health conditions than those born overseas

    UK healthcare workers born in the UK are significantly more likely to report having multiple long-term health conditions than migrant UK healthcare workers, according to a new study led by researchers from the University of Leicester

  • Book Trade Networks

    The University of Leicester's Leverhulme Trust Research Grant for the Book Trade Network project.

  • Pump Priming Awards

    Yearly or Bi-yearly Pump Priming Awards linked to BHF Accelerator

  • New AI tool helps doctors treat cancer patients after heart attack

    University of Leicester researchers have pioneered a new tool to determine the risk of secondary heart attacks in cancer patients using Artificial Intelligence

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