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14396 results for: ‘museum studies’

  • Urban Conservation MA, by distance learning

    Study Urban Conservation MA, by distance learning 2 years part-time at the University of Leicester

  • National Cardiac Surgery Clinical Trials Portfolio

    Lists information on the National Cardiac Surgery Clinical Trials Initiative Trials Portfolio

  • Welcome to the Criminal Corpse Blog

    Posted by Sarah Tarlow in The Power of the Criminal Corpse on September 1, 2015 Speaking as an old and ugly academic, I’ve come to realise that sometimes it takes a transfusion of young and energetic blood into an established project to liven it up.

  • Ethnic minority and poorer children more likely to die in intensive care

    Children from ethnic minority backgrounds and those living in areas with higher levels of child poverty are more likely to die in intensive care than White children and those from the least deprived areas, new study by University of Leicester researchers shows

  • Junior Emergency Medicine (JEM)

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  • Measuring and Monitoring in Healthcare

    Module code: MD7458 In this module you will study the measurement, reporting and interpretation of clinical quality and safety indicators.

  • Measuring and Monitoring in Healthcare

    Module code: MD7458 In this module you will study the measurement, reporting and interpretation of clinical quality and safety indicators.

  • Measuring and Monitoring in Healthcare

    Module code: MD7458 In this module you will study the measurement, reporting and interpretation of clinical quality and safety indicators.

  • Teachers and careers advisers

    The Future Students Office provides expert information, advice and guidance to students, parents and teachers, wherever you are in the world.

  • Spotlight on CLANet -- Deep learning in cell line authentication

    CLANet is an AI framework developed by Professor H Zhou's and collaborators, and funded by AstraZeneca Ltd. Cell line authentication plays a crucial role in the biomedical field, ensuring researchers work with accurately identified cells.

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