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  • Mars Science Laboratory Blog: Academic and staff blogs from the University of Leicester: Page 18

    Academic and staff blogs from the University of Leicester

  • Distributed and High-Performance AI Systems

    The Distributed AI Systems group provides theoretical and practical innovations in data intensive distributed systems (including clouds, HPC and quantum data centres), distributed machine learning models and self-adapting and physics informed digital twins to emulate the real...

  • Suzie Imber

    Many people outside the Department of Physics and Astronomy became aware of Suzie when she won the BBC 2 series Astronauts, Do You Have What It Takes? In 2017.

  • Study reveals new associations with lung disease and smoking behaviour

    Smokers who survive their habit into old age may hold the key to better lung health for all, according to a study involving co-led by Professor Martin Tobin (pictured) from the Department of Health Sciences and funded by the Medical Research Council (MRC).

  • 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.

  • 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’.

  • How alien auroras reveal planetary information

    Beyond their spectacular light shows, auroras can tell us a huge amount of information about a planet.

  • Satellite Data Analysis in Python

    Module code: GY7709 This module focuses on the Python programme language applied to the analysis of satellite data, particularly from the Copernicus Sentinel missions.

  • Satellite Data Analysis in Python

    Module code: GY7709 This module focuses on the Python programme language applied to the analysis of satellite data, particularly from the Copernicus Sentinel missions.

  • Satellite Data Analysis in Python

    Module code: GY7709 This module focuses on the Python programme language applied to the analysis of satellite data, particularly from the Copernicus Sentinel missions.

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