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  • Researchers take on marathon challenge

    A host of generous fundraisers from the University took part in the 13-mile Leicester Half-Marathon on 25 October to raise money for worthy causes.

  • Find us and get in touch

    Find out how to contact us and find us at the Jo Williams Clinic at the University of Leicester.

  • Sunday 16th September Sol 40

    Posted by jbridges in Mars Science Laboratory Blog on September 16, 2012 As we move forward we are making remarkable new discoveries.  There is a palpable air of excitement in the Science Discussions as the MastCam images appear.

  • Tuesday 4th September Sol 28

    Posted by jbridges in Mars Science Laboratory Blog on September 4, 2012 The High Resolution Stereo Imager Experiment (HiRise) onboard the Mars Reconnaissance Orbiter MRO has returned new images of the Bradbury landing site and Curiosity itself.

  • 18th June 2014 Sol 664

    Posted by jbridges in Mars Science Laboratory Blog on June 18, 2014 Today I am GeoSTL lead.  As we approach our first martian year we are concentrating on driving.  We recently managed 120 m in one sol.

  • Cancer Cell and Molecular Biology

    Module code: BS3003 This module will give you an insight into the impact of cancer in today’s society and an in-depth understanding of the molecular basis of human cancer.

  • Cancer Cell and Molecular Biology

    Module code: BS3003 This module will give you an insight into the impact of cancer in today’s society and an in-depth understanding of the molecular basis of human cancer.

  • Cancer Cell and Molecular Biology

    Module code: BS3003 This module will give you an insight into the impact of cancer in today’s society and an in-depth understanding of the molecular basis of human cancer.

  • Researcher explores the special skills required to be a medieval baker

    With The Great British Bake Off back on our screens and a University graduate taking part, many around campus are talking about the much-loved programme, which is now in its seventh season.

  • AI tool for breast cancer patients following surgery will be trialled later this year.

    An international team of researchers, led by the University of Leicester, has developed an artificial intelligence (AI) tool that can predict which breast cancer patients may be at risk of side effects after surgery and radiotherapy.

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