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  • 28th October 2013 Sol 436

    Posted by jbridges in Mars Science Laboratory Blog on October 28, 2013 Today is a soliday on Mars and no science activities.  We are parked close to our next Waypoint called Cooperstown.

  • Modelling Neonatal Care Pathways

    Find out more about the research into Modelling Neonatal Care Pathways at the University of Leicester.

  • First World War remembered

    With the support of Leicester Arts and Museums Services and the University of Leicester, over 300 interviews with those who lived through WWI in Leicestershire have been edited into sound clips and created into a collection. Find out more.

  • Antibiotic resistance for higher education

    Details and academic material on antibiotic resistance for higher educations students at The University of Leicester.

  • Project to help refugees with vital language skills

    The English Language Teaching Unit (ELTU) will be helping refugees to learn vital language skills to help them overcome some of the challenges faced when seeking sanctuary in the UK.

  • Military and conflicts

    Learn more about the collections about military and conflicts in the East Midlands Oral History Archive.

  • Unlocking our sound heritage

    Colin Hyde and Richard Wheelband are Oral History experts working with the East Midlands Oral History Archive.

  • Exams put to the test in learning and teaching conference

    Our University is holding its 4th annual learning and teaching one-day conference which aims to celebrate learning and teaching through a showcase of good practice in learning, teaching and assessment; an opportunity for contestation in the Exam Debate; themed discussions...

  • Foundations of Cybersecurity

    Module code: CO7099 How can computer systems defend themselves against network attacks? How can we ensure that our data has not been tampered with, or disclosed without our consent? How can we be sure of the identity of the party whom we are communicating...

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

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