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  • Joy Spiliopoulos

    The academic profile of Dr Joy Spiliopoulos, Research Associate (SAPPHIRE research group) at University of Leicester

  • Sustainable Engineering Design

    Module code: EG1007 EG1007 is the start of the journey to becoming a knowledgeable, skilled, independent professional Engineer.

  • Radio Systems

    Module code: EG7021 In this module, you will learn about a wide range of radio system applications (e.g. target location, i.e. radar, and navigation, i.e.

  • Spotlight on Leicesters highflying research

    New environmental research from Leicester is featured in the latest Energy Research Accelerator communications. Funded by Innovate UK, the Energy Research Accelerator (ERA) is a Midlands Innovation initiative.

  • About

    The Centre for Endangered Archaeology and Heritage is based within the School of Heritage and Culture, though it seeks to engage with other researchers across the University interested in heritage issues or the technologies applicable to monitoring and recording heritage.

  • Julian Matthews

    The academic profile of Dr Julian Matthews, Associate Professor in Media and Communication at University of Leicester

  • Prof. Alexander Gorban

    Director of the Mathematical Modelling Centre and Professor of Applied Mathematics.

  • Student academic experience survey

    Information you need to know The Student Academic Experience Survey is being conducted through a collaborative effort by the Business Intelligence and Reporting Team, Communications Team, and Education Services.

  • Leicester’s cutting-edge research and innovation delights Minister

    Minister Chris Skidmore MP was in Leicester today (Friday 8 March) at the start of British Science Week, visiting the University of Leicester to see first-hand how the University and the region is at the cutting-edge of life sciences and space research and innovation.

  • Over £600,000 for University of Leicester to shrink AI algorithms for smarter spacecraft

    Multidisciplinary team from University of Leicester receives £690,000 funding from UK Space Agency and aims to develop and demonstrate streamlined machine learning algorithms suitable for limited spacecraft power and computing performance

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