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18th June 2014 Sol 664
https://staffblogs.le.ac.uk/mars/2014/06/18/18th-june-2014-sol-644/
Posted by jbridges in Mars Science Laboratory Blog on June 18, 2014 Today I am GeoSTL lead. As we approach our first martian year we are concentrating on driving. We recently managed 120 m in one sol.
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Doug Gregg
https://le.ac.uk/people/doug-gregg
The academic profile of Doug Gregg, PhD Researcher at University of Leicester
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Researchers take on marathon challenge
https://le.ac.uk/news/2015/october/researchers-take-on-marathon-challenge
A host of generous fundraisers from the University took part in the 13-mile Leicester Half-Marathon on 25 October to raise money for worthy causes.
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Two different schools of thought discuss light
https://le.ac.uk/news/2015/november/two-different-schools-of-thought-discuss-light
An event which examines the relationship between science and religion and their alternative views on the subject of light will take place on Wednesday 18 November at The Gatehouse Chaplaincy Centre, University Rd from 5.30pm – 8.00pm.
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Daqi Liu
https://le.ac.uk/people/daqi-liu
The academic profile of Dr Daqi Liu, Lecturer at University of Leicester
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Further Topics in Health Data Science
https://le.ac.uk/modules/2024/md7476
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).
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Further Topics in Health Data Science
https://le.ac.uk/modules/2025/md7476
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).
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Further Topics in Health Data Science
https://le.ac.uk/modules/2026/md7476
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).
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Spotlight on CLANet -- Deep learning in cell line authentication
https://le.ac.uk/computing-and-mathematical-sciences/research/life-health-sciences/clanet
CLANet is an AI framework developed by Professor H Zhou's and collaborators, and funded by AstraZeneca Ltd. Cell line authentication plays a crucial role in the biomedical field, ensuring researchers work with accurately identified cells.
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Thursday 4th October Sol 58
https://staffblogs.le.ac.uk/mars/2012/10/05/thursday-4th-october-sol-58/
Posted by jbridges in Mars Science Laboratory Blog on October 5, 2012 Previous missions suggest that the ‘soil’ on Mars is roughly basaltic in composition. However, on Earth sand is mainly composed of quartz (silica).