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Mr Emmanuel Katsogridakis
https://le.ac.uk/bhf-accelerator/people/previous-researchers/emmanuel-katsogridakis
MD, MSc, PhD, MRCS British Heart Foundation Academic Clinical Lecturer Email ek311@le.ac.
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Collections and Research
https://le.ac.uk/botanic-garden/collections-and-research
Read about the collections and research associated with the Botanic Garden.
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Cerebral Autoregulation
https://le.ac.uk/cardiovascular-sciences/research/imaging/chiasm/cerebral-autoregulation
Impaired regulation of cerebral blood flow is implicated in a number of clinical conditions, such as ischaemic stroke, severe head injury, liver failure, diabetes, autonomic nervous system failure, carotid artery disease, dementia, pre-eclampsia and neonatal prematurity.
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Events
https://le.ac.uk/museum-studies/events
Find out about the upcoming events hosted by and related to Museum Studies at the University of Leicester.
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Remote Sensing for Geographers
https://le.ac.uk/modules/2024/gy3353
Module code: GY3353 This module builds on the foundations laid down in year 2 to explore how remotely sensed data and images are exploited in geographical applications as well as instruction in radar and lidar remote sensing, new and exciting aspects of Earth observation.
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Huiyu Zhou
https://le.ac.uk/people/huiyu-zhou
The academic profile of Professor Huiyu Zhou, Professor of Machine Learning at University of Leicester
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Garden preview
https://le.ac.uk/botanic-garden/about-us/garden-preview
Discover all there is to see at the Botanic Garden at the University of Leicester.
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Earth Observation and Remote Sensing
https://le.ac.uk/modules/2024/gy7028
Module code: GY7028 Remote sensing is collecting data from a distance – without actually being there. We use remote sensing technologies such as satellites and aerial sensors for Earth Observation – to collect data about the Earth’s physical, chemical and biological systems.
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Remote sensing
https://le.ac.uk/modules/2025/gy7705
Module code: GY7705 There is a great deal of interest from scientists, public officials and the general public in information derived from satellites about the Earth’s surface.
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Remote sensing
https://le.ac.uk/modules/2026/gy7705
Module code: GY7705 There is a great deal of interest from scientists, public officials and the general public in information derived from satellites about the Earth’s surface.