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Barbara Tschirrren

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PhD in Wildlife Disease Ecology and Microbiome Dynamics at University of Exeter University of Exeter in United Kingdom

I am recruiting a PhD student in wildlife disease ecology and microbiome dynamics at the University of Exeter.

University of Exeter

United Kingdom

email-of-the@publisher.com

Dec 3, 2025

Description

The University of Exeter Centre for Ecology and Conservation in Cornwall is offering a PhD opportunity focused on understanding how host microbiome dynamics affect wildlife disease, specifically in European badgers. The project will use a One Health framework to investigate how microbiome changes influence susceptibility to bovine tuberculosis (bTB) and how these patterns are shaped by host social interactions and space use.

This interdisciplinary project combines molecular and bioinformatic techniques, statistical modelling, and field sampling. It is supervised by Xav Harrison and Associate Professor Barbara Tschirrren, both based at the University of Exeter. The research will provide valuable insights into disease ecology, host-pathogen interactions, and the role of the microbiome in wildlife health.

Applicants should have a strong background in biology, ecology, or a related field, with experience in molecular and bioinformatic techniques, statistical modelling, and fieldwork considered advantageous. A good undergraduate or master's degree (2:1 or above or equivalent) is typically required, and English language proficiency may be necessary for non-native speakers.

For more information and to apply, visit the project link. The application deadline is December 3rd, 2025.

Funding

Available

How to apply

Visit the provided project link for more information and application instructions. Prepare your application materials as specified on the project page. Submit your application before the deadline of December 3rd, 2025.

Requirements

Applicants should have a strong background in biology, ecology, or a related field. Experience with molecular and bioinformatic techniques, statistical modelling, and field sampling is desirable. A good undergraduate or master's degree (2:1 or above or equivalent) is typically required. English language proficiency may be required for non-native speakers.

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