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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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Crystallisation robots
https://le.ac.uk/mcb/about/facilities-and-services/biophysical-instrumentation-and-anaerobic-facilities/crystallisation-robots
Learn about the crystallisation robots in the Department of Molecular and Cell Biology at the University of Leicester.
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Contacts 联系方式
https://le.ac.uk/dalian/contacts
A list of UK and China-based contacts for the Dalian Partnership.
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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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9th Dec. 2013 Sol 478
https://staffblogs.le.ac.uk/mars/2013/12/09/9th-dec-2013-sol-478/
Posted by jbridges in Mars Science Laboratory Blog on December 9, 2013 Today is when the first set of papers about Yellowknife Bay are published.
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17th Dec. 2013 Sol 485
https://staffblogs.le.ac.uk/mars/2013/12/17/17th-dec-2013-sol-485/
Posted by jbridges in Mars Science Laboratory Blog on December 17, 2013 The landing site slection process for the 2018 ExoMars Rover has just started: http://exploration.esa.
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New theorems could help robots to correct errors on-the-fly and learn from each other
https://le.ac.uk/news/2017/august/new-theorems-could-help-robots-to-correct-errors-on-the-fly-and-learn-from-each-other
Errors in Artificial Intelligence which would normally take a considerable amount of time to resolve could be corrected immediately with the help of new research by Leicester mathematicians.