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7617 results for: ‘APP下载单页html源码✅项目合作 二开均可 TG:saolei44✅.hzPCmMLyDXCxS’

  • Biostatistics research group

    Discover more about the Biostatistics Research Group at the University of Leicester.

  • Seeds from Hiroshima atomic bomb survivor tree take root in Leicester

    Seeds from trees which survived the atomic bomb in Hiroshima have taken root in Leicester in time for the 80th anniversary of VJ Day.

  • Information for participants

    Information for participants who are part of The United Kingdom Aneurysm Growth Study

  • Industrial Organisation

    Lead: Dr Subir Bose This research group will focus on research that deals with modelling the decision-making behaviour of individuals and firms, and its foundations in economic theory.

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Bing Ji

    The academic profile of Dr Bing Ji, Associate Professor of Electrical Engineering at the University of Leicester

  • Physics and Astronomy February 2021 Digest

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 1 March 2021 Two months in to 2021, and our Leicester Physics community remains distributed far and wide across the UK and beyond.

  • Man vs. machine: New Leicester research to compare human eye-tracking with AI in first study of its kind

    The human brain’s ability to track and process hazards will be pitted against an innovative artificial intelligence (AI) tool in a new interdisciplinary research study at the University of Leicester.

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