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PhD students
https://le.ac.uk/modern-languages/people/phd-students
Find out more about the work of current PhD students in Modern Languages.
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Academic Practice
https://le.ac.uk/modules/2024/mn7366
Module code: MN7366 During this module, you'll identify and appreciate the range of, and differences between, quantitative and qualitative data-based empirical studies that inform the study of Human Resource Management and Training (HRM&T).
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Management Inquiry and Analysis
https://le.ac.uk/modules/2024/mn1009
Module code: MN1009 Business and organisational leaders make important decisions every day.
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Academic Skills and Knowledge
https://le.ac.uk/modules/2024/mn7600
Module code: MN7600 Module co-ordinator: Dr Richard Godfrey Module Outline This formative assessment module introduces you to the virtual learning environment and shows you how to effectively utilise this during your course.
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Consumer Behaviour
https://le.ac.uk/modules/2024/mn2121
Module code: MN2121 Understanding consumer behaviour is critical to the successful execution of marketing strategies and brand building.
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Evidence Applied to Professional Practice
https://le.ac.uk/modules/2024/nu4004
Module code: NU4004 (double module) In this module you will critically reflect on clinical practice, and construct a systematic review/service improvement project to address and review clinical/education/research focused areas of inquiry of your choosing.
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Related links
https://le.ac.uk/own-write/resources/related-links
Discover projects, organisations and websites related to the In Their Own Right project.
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IODP Mission-Specific Program (MSP) logging summaries
https://le.ac.uk/iodp/expeditions/logging-summaries
Logging programmes and the collection of downhole data form an element of all IODP expeditions.
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Lucy Hargreaves
https://le.ac.uk/school-of-business/people/deans-advisory-board/lucy-hargreaves
Lucy's career spans the private (BP, ExxonMobil) and higher education (Coventry University, University of Cambridge) sectors.
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Statistical Data Analysis
https://le.ac.uk/modules/2025/ma2206
Module code: MA2206 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.