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  • Sol 1 Monday 7th August

    Posted by jbridges in Mars Science Laboratory Blog on August 7, 2012 Mars Reconaissance Orbiter Image of Curiosity Descent. Good news from ChemCam PI Roger Wiens ‘All Systems are Go’.

  • Global Dust Storm on Mars July 9th 2018, Sol 2105

    Posted by jbridges in Mars Science Laboratory Blog on July 9, 2018 We are experiencing the most intense global dust storm on Mars since 2001.

  • International Education MA, by distance learning

    This is for you if... you are an educational professional wanting to improve your understanding of contemporary educational issues.

  • Easter eggs hot cross buns and the microorganisms that help create them

    With supermarket shelves filled with chocolate at this time of year, little thought goes into how the humble cocoa bean eventually becomes the popular Easter egg.

  • Services for business

    See details of our range of consultancy and threat/risk advisory services. Consultancy services Details of our range of educational, training, and CPD courses.

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Mutation and adaption for higher education

    Learn more about horizontal gene transfer for higher education at The University of Leicester.

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

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