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Meet the research team
https://le.ac.uk/healthcare/research/people
Learn more about the research team based in the School of Healthcare at the University of Leicester.
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Academic, research and technical staff
https://le.ac.uk/physics/people/academic
Browse the academic staff who work in the Department of Physics and Astronomy and see their contact details.
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Contents insurance
https://le.ac.uk/study/undergraduates/accommodation/life-in-halls/contents-insurance
Accommodation Services partner with Howden, the student insurance specialists, to cover your belongings when you're living with us. This is included in your accommodation fee.
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Funding and finances
https://le.ac.uk/study/undergraduates/mature-students/funding-and-finances
How to fund your studies, with information on tuition fee and maintenance loans, scholarships and part-time work.
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Global celebration
https://le.ac.uk/centenary/events/global-celebration
On Monday 4 October 2021, we celebrated the official birthday of the University, marking 100 years since we opened our doors to our first students in 1921. As well as events on campus, we wanted to ensure that our global community was included.
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People
https://le.ac.uk/research/institutes/space/people
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Palitha Edirisingha
https://le.ac.uk/people/palitha-edirisingha
The academic profile of Dr Palitha Edirisingha, Associate Professor at University of Leicester
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Climate Change: Impacts, Vulnerability and Adaptation
https://le.ac.uk/modules/2024/gy3432
Module code: GY3432 "Climate change is destroying our path to sustainability. Ours is a world of looming challenges and increasingly limited resources." So said the then-UN Secretary-General Ban Ki-moon in 2012.
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Statistics for Data Science
https://le.ac.uk/modules/2024/ma7023
Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.
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Linear Statistical Models
https://le.ac.uk/modules/2024/ma2261
Module code: MA2261 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.