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Tiziana Lembo
Top university
2 years ago
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Veterinary Medicine University of Glasgow in United Kingdom
Degree Level
PhD
Field of study
Epidemiology
Funding
3.5 years of funding at UKRI stipend rates, home fees coverage, and up to £17.5k for consumables
Deadline
Expired
Country
United Kingdom
University
University of Glasgow
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About this position
Funding details
3.5 years of funding at UKRI stipend rates, home fees coverage, and up to £17.5k for consumables
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Professors
Senior Lecturer at University of Glasgow
United Kingdom
Research Interests
Maternal And Child Health
Genetics
Antibiotic Resistance
Antimicrobial Research
Livestock Management
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Review drafts and confirm requirements with the university.
The above PhD project is offered as part of the University of Glasgow’s College of Medical, Veterinary & Life Sciences’ Futures PhD Programme. The studentship will provide 3.5 years of funding at UKRI stipend rates, home fees coverage, and up to £17.5k for consumables.
Supervisors:
Dr Paul Johnson ( https://lnkd.in/eAwqDgb7 ), School of Biodiversity, One Health & Veterinary Medicine (University of Glasgow)
Dr Tiziana Lembo ( https://lnkd.in/emtrS_5D ), School of Biodiversity, One Health & Veterinary Medicine (University of Glasgow)
Dr Jess Enright ( https://lnkd.in/em7fP9T6 ), School of Computing Science (University of Glasgow)
Dr Adrian Muwonge ( https://lnkd.in/e5JwNF39 ), The Roslin Institute (University of Edinburgh)
Summary:
Antimicrobial resistance (AMR) is a global health challenge that affects people’s health, and undermines food security and national economies through impacts on the livestock sector. The greatest impacts are felt in low-resource settings where livelihoods are highly dependent on livestock. Livestock mobility to access resources (grazing land, water and minerals) is critical to animal survival but could play a role in the spread of AMR across the landscape.
The successful PhD student will develop new statistical and mathematical methods to model and understand the complex system of livestock movements in traditional livestock production systems of East Africa, and will use bacterial whole-genome sequence data and population genetics modelling to assess the contribution of livestock movements to the spread of AMR. They will also test the transferability and robustness of these models for larger scale inferences. The connections of the supervisory team to national and international agencies will provide a link to decision makers for the practical application of this work.
Applicants should be highly quantitative ecologists or epidemiologists with an interest in deepening their mathematical and statistical skills, or applied statisticians aiming to develop their skills to address practical issues around the control of livestock diseases in natural systems.
How to apply:
This page provides information on eligibility and how to apply:
https://lnkd.in/eSdZV3mK
The deadline for applications is the 12th of January 2025. Please do not hesitate to contact the supervisory team if would like to receive further information on this project.