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  • 17th July 2015 Sol 1047

    Posted by jbridges in Mars Science Laboratory Blog on July 17, 2015 The science team is considering the next drill target. ChemCam and APXS results suggest that the sediment compositions are changing within the Murray Formation, with more altered compositions.

  • 29th January 2016 Sol 1238

    Posted by jbridges in Mars Science Laboratory Blog on January 29, 2016 Here is MAHLI’s selfie of Curiosity at work on the Hebron part of the Namib dune. Its a mosaic of 57 images.

  • 5th April 2017 Sol 1658

    Posted by jbridges in Mars Science Laboratory Blog on April 5, 2017 The second Bagnold Dunes campaign is now drawing to a close.

  • 21st January 2015 Sol 875

    Posted by jbridges in Mars Science Laboratory Blog on January 21, 2015 The MSL science operations have stood down for a few days whilst a software upgrade goes ahead.  Soon we will recommence the drilling campaign.

  • SURE Internships 2023

    Summer Undergraduate Internships within the School of Physics and Astronomy came to an end in August, and our interns have been sharing their thoughts and experiences over on LinkedIn.

  • Health outcomes of ethnic minorities living in cities explored in national report

    Leading professors from the University of Leicester and the Office for Health Improvement and Disparities in London have provided key recommendations in the Chief Medical Officer’s (CMO) annual report to enhance care for ethnic minority populations living in cities

  • Wednesday 9th Jan. 2013 Sol 153

    Posted by jbridges in Mars Science Laboratory Blog on January 14, 2013 Another first for Curiosity’s instruments. We have deployed the brush (which is a rotating implement on the robotic arm) for the first time.

  • 3rd March 2016 Sol 1271

    Posted by jbridges in Mars Science Laboratory Blog on March 3, 2016 Every year, much of the planetary science community gather at the Lunar and Planetary Science conference in Houston.

  • Game Theory in Computer Science

    Module code: CO4212 Modern computer science has to deal with large, heterogeneous networks in which a large number of autonomous agents interact. Often, such systems are not centrally planned, but evolve in a distributed fashion as a result of the interaction of agents.

  • Game Theory in Computer Science

    Module code: CO7212 Modern computer science has to deal with large, heterogeneous networks in which a large number of autonomous agents interact. Often, such systems are not centrally planned but evolve in a distributed fashion as a result of the interaction of agents.

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