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  • Major boost for Leicester spin-out company Haemostatix

    UK-based Ergomed plc, a company specialising in services to the pharmaceutical industry and new drug development, has acquired Haemostatix Ltd, originally a University of Leicester spin-out company.

  • University geneticist warns of pseudoscience in industries

    A University scientist has joined leading scientists from across Europe in raising an alarm over the ‘pseudoscience’ concerning regulation of compounds used in agriculture, healthcare and industry.

  • Student research stories featured by the BBC

    Two student-led studies published in the Journal of Interdisciplinary Science Topics run by the Centre for Interdisciplinary Science have been featured on the BBC's '10 things we didn't know last week', which highlights research about interesting and...

  • Research highlights incredible insects during National Insect Week

    The feature, revisiting four occasions where insects played an instrumental role in University research, can be found here Insects, bugs, creepy-crawlies - there are some who say they are not always the cutest critters, but they can certainly be one of the most useful and...

  • Athena Swan

    Women are under-represented in science, the more senior the role the greater the deficit.  In some disciplines there is significant under-representation of women at all levels.

  • Participants' reflections on the workshops

    Find out what participants of the workshops had to say by reading through their reflections and realisations.

  • The future of the media in the wake of Trump and Brexit

    What has been the impact of President Trump? What will be the impact of Brexit? Those are two of the biggest questions being addressed by leading journalists and academics at a conference at Leicester on Wednesday 21 February.

  • Family Loyalty Discount

    The Family Loyalty Discount entitles international (non-EU) students to 10% off your course fees for each year of a full-time course.

  • Advanced Statistical Modelling (Full-time)

    Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.

  • Professional Development

    Module code: NU1020 This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single profession groups.

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