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14048 results for: ‘(PC WAP)教育培训课程类网站pbootcms模板 绿色教育培训机构网站源码✅项目合作 二开均可 TG:saolei44✅.WpFxAxytOCJA’

  • 1 million investment in Informatics to enhance Big Data offer to science and business

    A £1 million investment into the Department of Informatics at our University will develop capacity to work on Big Data with business and industry.

  • New Saturn images show a change of seasons – and a last glimpse of its huge, warm polar vortex

    New observations of Saturn by University of Leicester planetary scientists using the James Webb Space Telescope (JWST) of the famous ringed planet

  • Steve Rooney: Page 3

    Learning Development Manager

  • The television: an electronic babysitter for the incarcerated?

    Read the article "The television: an electronic babysitter for the incarcerated?" This is part of the Social Worlds project at the University of Leicester.

  • May Book Group: Vile Bodies

    Details of the Waugh Book Group's meeting to disuss Vile Bodies.

  • University of Leicester astronomers help James Webb Space Telescope glean new insights from distant world

    • A NASA-coordinated study has today revealed the early origins of a planet 700 light years away • Astronomers from the University of Leicester contributed to research that used the famous James Webb Space Telescope (JWST) to investigate the atmosphere of distant planet...

  • Academic to provide expert analysis for BBC on General Election results

    A Leicester academic will be providing expert analysis and commentary during BBC Radio Leicester’s all-night broadcast for the 2017 General Election results on Thursday (8 June).

  • Back to the Future Why it should never be remade

    To film aficionados, today is a very special day - 21 October 2015 is famous amongst Back to the Future fans as it is the day to which Marty McFly, played by Michael J. Fox, travels when he is sent to the future in Back to the Future II.

  • Big Data and Predictive Analytics

    Module code: CO7093 As we increasingly rely upon the online environment for our daily routines, we leave behind a vast amount of information about us. Commercial and public organisations can use this information to predict our behaviour.

  • Big Data and Predictive Analytics

    Module code: CO7093 As we increasingly rely upon the online environment for our daily routines, we leave behind a vast amount of information about us. Commercial and public organisations can use this information to predict our behaviour.

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