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David Guttery
https://le.ac.uk/people/david-guttery
The academic profile of Dr David Guttery, Associate Professor at University of Leicester
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Mostefa Kermadi
https://le.ac.uk/people/mostefa-kermadi
Mostefa Kermadi (Dipl. Ing.), M.Sc., and Ph.D. in Automatic Control . Lecturer (Assistant Professor) at the School of Engineering, University of Leicester.
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Agneta Svalberg
https://le.ac.uk/people/agneta-svalberg
The academic profile of Dr Agneta Svalberg, Associate Professor Applied Linguistics (Joint) Programme Director MA Applied Linguistics & TESOL (Joint) PGR Tutor at University of Leicester
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Topics in Applied Econometrics
https://le.ac.uk/modules/2024/ec2011
Module code: EC2011 Moving on from the statistical techniques you have completed during first year and your Introduction to Econometrics, this module will dive into the wider uses of mathematical models in real world situations, and their relevance to polices that have been...
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Kevin Paterson
https://le.ac.uk/people/kevin-paterson
The academic profile of Professor Kevin Paterson, Professor of Experimental Psychology at University of Leicester
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College of Social Sciences Arts and Humanities (CSSAH)
https://le.ac.uk/lemid/people/college-of-social-sciences-arts-and-humanities
LeMID (Leicester Microbial Sciences and Infectious Disease) academic staff members from the College of Social Sciences, Arts and Humanities (CSSAH).
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Paul Baines
https://le.ac.uk/people/paul-baines
Information and contact details for Professor Paul Baines, Professor of Political Marketing and Head of Executive Education at the University of Leicester.
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BSL Level 1: Part 2
https://le.ac.uk/languages-at-leicester/languages/british-sign-language/level-1-part-2
British Sign Language Part 2 course at Leicester University
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Engaging Visitors and Audiences
https://le.ac.uk/modules/2024/mu7507
Module code: MU7507 Module Outline This module is concerned with how museums impact audiences in a variety of ways, and how they contribute to learning.
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Genomic sequencing confirms breast cancer link between Leicester sisters
https://le.ac.uk/news/2019/september/27-sisters-genome
Two Leicester sisters who had their entire genomes sequenced in the hope of finding answers to their family history of breast cancer have learnt they both carry a genetic variant that significantly increases their risk of developing the disease.