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24th September 2014 Sol 758
https://staffblogs.le.ac.uk/mars/2014/09/24/24th-september-2014-sol-758/
Posted by jbridges in Mars Science Laboratory Blog on September 24, 2014 We are drilling at Pahrump (named after an old Shoshone, native American settlement in what is now Nevada).
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Vaughan Centre for Lifelong Learning
https://le.ac.uk/vcll
Find out more about life long learning at the University of Leicester Vaughn Centre.
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Seminars
https://le.ac.uk/biostatistics/seminars
Find out more about seminars on Biostatistics research at the University of Leicester.
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MA Dissertation
https://le.ac.uk/modules/2025/pl7000
Module code: PL7000 The dissertation is your chance to explore a topic that interests you, and produce original research that looks into an aspect of international relations.
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Mathematical Foundations of AI and Machine Learning
https://le.ac.uk/modules/2027/ma2041
Module code: MA2041 In this module, you will learn how to formulate and state basic tasks and problems of Machine Learning.
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Introduction to Comparative Politics: Europe and the USA
https://le.ac.uk/modules/2027/pl1114
Module code: PL1114 This module will help you understand the political systems and institutions of different European countries and the USA.
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MA Dissertation
https://le.ac.uk/modules/2027/pl7000
Module code: PL7000 The dissertation is your chance to explore a topic that interests you, and produce original research that looks into an aspect of international relations.
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Introduction to Comparative Politics: Europe and the USA
https://le.ac.uk/modules/2027/pl1014
Module code: PL1014 This module will help you understand the political systems and institutions of different European countries and the USA.
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Mathematical Foundations of AI and Machine Learning
https://le.ac.uk/modules/2025/ma2041
Module code: MA2041 In this module, you will learn how to formulate and state basic tasks and problems of Machine Learning.
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Mathematical Foundations of AI and Machine Learning
https://le.ac.uk/modules/2026/ma2041
Module code: MA2041 In this module, you will learn how to formulate and state basic tasks and problems of Machine Learning.