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8040 results for: ‘影视视频短剧系统源码搭建教程短剧saas系统小程序h5✅项目合作 二开均可 TG:saolei44✅.SMJaQnhkBwk’

  • NGTS discovers an extremely small star in an eclipsing binary

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 1 September 2020 Leicester PhD student Jack Acton discusses his latest discovery, a record breaking eclipsing binary system found in data from the NGTS exoplanet survey.

  • Molecular and Cellular Sciences

    Module code: BS1081 This module will lay the groundwork, providing an understanding of how cells function, communicate, divide, and maintain themselves.

  • Molecular and Cellular Sciences

    Module code: BS1081 This module will lay the groundwork, providing an understanding of how cells function, communicate, divide, and maintain themselves.

  • Molecular and Cellular Sciences

    Module code: BS1081 This module will lay the groundwork, providing an understanding of how cells function, communicate, divide, and maintain themselves.

  • Nikon microscope 4

    See more about the Nikon microscope 4 that is part of the Advanced Imaging Facility.

  • Samuel Seidu

    Professor Sam Seidu is Professor in Primary Care Diabetes and Cardio-Metabolic Medicine

  • Advertising Analysis

    Module code: MS7080 This module engages with the major controversies surrounding advertising in contemporary society, and you'll be analysing the theory behind them, then applying them to advertising texts and campaigns.

  • Air Quality Monitoring and Public Engagement in a Leicester Neighbourhood

    Principle Investigator - Leicester City Council Leicester lead - Josh Vande Hey Leicester City Council are leading this Defra Air Quality Grant-funded project.

  • Dani Baguley

    PhD student dab43@leicester.ac.uk My PhD project started in September 2021 within the School of Chemistry. I am looking at volatile organic compounds being emitted from 3D printers and the impact of these compounds in relation to respiratory health.

  • Applied Statistics

    Module code: MA7416 In Applied statistics you will build on the material covered in introductory probability and statistics modules to learn about the properties of some probability distributions and statistical techniques useful for modelling insurance claims.

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