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7238 results for: ‘global learning outcomes’

  • Molecular Genetics MSc

    This is for you if... you want to study the molecular genetics at an advanced level and develop a dynamic career in biological research.

  • English Grammar in Use

    English Grammar in Use EL2013 course offered by the ELTU.

  • Student achievements

    See the prizes awarded to and achievements gained by postgraduate research students in the Department of Cardiovascular Sciences at the University of Leicester.

  • Geologists reveal omnipresent effects of human impact on Englands landscape

    ‘Omnipresent’ signs demonstrating the effects of human impact on England’s landscape have been revealed by researchers from our Department of Geology.

  • University of Leicester expert in political marketing joins fellowship of outstanding social scientists

    A University of Leicester expert in political marketing and propaganda has been elected to the Fellowship of the Academy of Social Sciences.

  • Daniel Z. Hao

    The academic profile of Dr Daniel Zhou Hao - Lecturer (Assistant Professor) at University of Leicester, specialised in AI, Robotics, Space Technologies. Robotic Manipulation System Lead for ESA/NASA Mars Sample Return (MSR) DWI Project

  • Postgraduate courses

    Chemistry postgraduates at the University of Leicester learn from leading experts, using the latest advances in scientific knowledge in teaching, learning and practice.

  • Embrace Arts will soon be Attenborough Arts Centre

    The University of Leicester’s new gallery is moving towards its target completion date in Autumn 2015.

  • UK researchers join UN led collaboration to measure methane emissions from Nord Stream Pipeline Leak – largest ever leak of methane recorded

    University of Leicester scientists at the National Centre for Earth Observation (NCEO) have contributed to a study of methane emissions from the Nord Stream subsea pipeline leaks

  • Over £600,000 for University of Leicester to shrink AI algorithms for smarter spacecraft

    Multidisciplinary team from University of Leicester receives £690,000 funding from UK Space Agency and aims to develop and demonstrate streamlined machine learning algorithms suitable for limited spacecraft power and computing performance

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