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Jayne Marshall
https://le.ac.uk/people/jayne-marshall
The academic profile of Professor Jayne Marshall, Head of Midwifery; Lead Midwife for Education; Deputy Head of School of Healthcare; School Director of Education at University of Leicester
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Zeiss Elyra 7 lattice SIM2
https://le.ac.uk/cbs/facilities/aif/equipment/superresolution-microscopy/zeiss-elyra-7-lattice-sim2
In spring 2024 we introduced the Zeiss Elyra 7 lattice SIM2 into the facility after a successful application to the BBSRC ALERT 2022, lead by Dr Yolanda Markaki.
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Finance and Infrastructure Committee
https://le.ac.uk/about/who-we-are/governance/committees/council/finance
See the Finance Committee's terms of reference and membership, including details of their role, responsibilities, reporting hierarchy and meetings.
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The Square Café
https://le.ac.uk/food-drink/outlets/square-cafe
Find out more about the ‘We proudly serve’ Starbucks food outlet in the Students' Union on Leicester central campus.
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Dan Bishop
https://staffblogs.le.ac.uk/business/author/db137/
Dan Bishop is a lecturer in employment studies at the University of Leicester School of Management
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Receiving your loan
https://le.ac.uk/policies/fees-funding/us-loans/receiving
Managing your money Your Cost of Attendance (COA) is calculated for one full academic year; 39 weeks for undergraduate students and 52 weeks for postgraduate Masters and PhD students.
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Computational Fluid and Space-Phase Flows
https://le.ac.uk/modules/2027/pa4611
Module code: PA4611 When the number of particles in a system becomes too large, we must stop treating it as individual particles and start understanding it as a collective.
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Computational Fluid and Space-Phase Flows
https://le.ac.uk/modules/2025/pa4611
Module code: PA4611 When the number of particles in a system becomes too large, we must stop treating it as individual particles and start understanding it as a collective.
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Computational Fluid and Space-Phase Flows
https://le.ac.uk/modules/2026/pa4611
Module code: PA4611 When the number of particles in a system becomes too large, we must stop treating it as individual particles and start understanding it as a collective.
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Fundamentals of Data Science
https://le.ac.uk/modules/2027/ma3419
Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.