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  • Ichthyosaur skull in Leicester museum reveals Jurassic secrets

    A new scientific study has re-examined a series of fossil skulls from the UK, providing new insights into two species of extinct marine reptiles.

  • Open access deal with Springer Nature

    Announcement of the University of Leicester's new Open Access deal with Springer Nature

  • Leicester to provide world-class space science business incubation support

    The UK Space Agency has announced another £200,000 of funding for 4 new business incubators – including one at the University of Leicester - to boost the number of companies starting-up and growing in the space sector across the UK.

  • LeCTIS Seminar Series 2020-21

    Details Location: Online on Teams (links will be circulated the day before the event) Time: 4.00pm - 5.00pm (unless otherwise stated) For more information, please contact Dr Sara Naylor or Dr Yan Ying at LeicesterCTIS@leicester.ac.

  • Articulate

    In 2008, the National Gallery commissioned RCMG to evaluate the second phase of Articulate, their secondary school literacy programme.

  • Research to highlight “seldom heard voices” of womb cancer patients

    Researchers exploring the impact of womb cancer on different ethnic groups are recruiting patients to the first study of its kind in the UK.

  • Leicester expert informs report into NHS and care workforce crisis

    Research from the University of Leicester has informed a high-profile government report on staff recruitment, training and retention rates in health and social care.

  • First clinical review confirms BAME and COVID-19 link

    Black, Asian and minority ethnic (BAME) individuals are at an increased risk of SARS-CoV-2 infection and adverse clinical outcomes, according to the first comprehensive systematic and review of published and unpublished data conducted by researchers at the University of...

  • Collaborate with us

    A guide to collaborating with Leicester Clinical Trials Unit, from initial contact, to collaboration discussions and funding approval.

  • Artificial intelligence can better predict future risk for heart attack patients

    A landmark study led by University of Leicester experts' has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack

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