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23103 results for: ‘哇呼星聊即时通讯系统源码 Android iOS PC三端 附教程✅项目合作 二开均可 TG:saolei44✅.NsovZFiycrj’

  • Work experience at Leicester inspires aspiring scientist

    Leicester teenager Chelsea Herbert first discovered her love for scientific research thanks to the University of Leicester which gave her the opportunity to taste science at the cutting edge.

  • ELCAS funding for members of the Armed Forces

    If you are a current or former member of the UK armed forces then you may be eligible for Ministry of Defence Enhanced Learning Credit Scheme (ELCAS) funding for your distance learning course.

  • Innovative UK-led space technology takes off on BepiColombo mission to Mercury

    BepiColombo MIXS Instrument - Mission to Mercury -t0H3nz_nkI MIXS instrument The MIXS instrument 700|With £6.

  • Trading places: University of Leicester scientist swaps roles with parliamentarian for Royal Society Pairing Scheme 2025

    University of Leicester environmental health expert to spend next week working in Parliament

  • Olympus FV1000 confocal microscope

    Get more details for the Olympus FV1000 confocal microscope house in the Advanced Imaging Facility.

  • Study reveals new associations with lung disease and smoking behaviour

    Smokers who survive their habit into old age may hold the key to better lung health for all, according to a study involving co-led by Professor Martin Tobin (pictured) from the Department of Health Sciences and funded by the Medical Research Council (MRC).

  • Research reveals earliest evidence yet of huge hippos in Britain

    Neil Adams, PhD researcher in the Centre for Palaeobiology Research at the University of Leicester and Earth Collections Project Officer at the Oxford University Museum of Natural History, said: “It was very exciting to come across a hippo tooth during our recent excavations...

  • More than 50 years of Leicester in space

    In World Space Week we reflect on the University of Leicester’s long history of making out of this world discoveries.

  • Publications

    Wang, P., Tao, Q., Dong, H., & El-Fallah, G. M. A. M. (2025). Advanced machine learning analysis of radiation hardening in reduced-activation ferritic/martensitic steels. Computational Materials Science. doi:10.1016/j.commatsci.2025.113773 Li, M., Fu, J.

  • Student Midwife clinches prestigious award

    “Inspiring” student midwife Selena Palmer has clinched a prestigious award for her efforts to help others during her time at the University of Leicester

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