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9789 results for: ‘global learning outcomes’

  • Numerical Programming in C++

    Module code: PA3247 The Physics Skills Electives are designed to help you improve your skills and enhance your career options in industry, education, research and/or business.

  • Numerical Programming in C++

    Module code: PA3247 The Physics Skills Electives are designed to help you improve your skills and enhance your career options in industry, education, research and/or business.

  • Numerical Programming in C++

    Module code: PA3247 The Physics Skills Electives are designed to help you improve your skills and enhance your career options in industry, education, research and/or business.

  • What we collect

    How we collect and what we are looking to add to the University of Leicester Archives and Special Collections.

  • Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970 – 2019) 

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on September 14, 2021 WMO Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970 – 2019 )  A rich source of data published recently by the World Meteorological...

  • Midlands Mindforge enters active investment phase as first spinout investments deployed

    Investment company established by universities including the University of Leicester completes its first round of investments

  • 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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