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Профиль

Barbara Tschirren

Профиль Vively

Associate Professor of Evolutionary Ecology at the University of Exeter (Cornwall). Interested in the ecology & evolution of health and disease, life history evolution, cross-generational effects, and more. 🐭🐣🐦‍🦡🦟🦠🧪🧬🌻🐈🐓⛰️

@bethpurse.bsky.social @rbiek.bsky.social @cmillins.bsky.social @ticklethetick.bsky.social @hannahvineer.bsky.social

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Please review the Job Description in the ad carefully and explain how you meet the essential and desirable criteria in your application. Application deadline: 28 Sept 2026 For further information please contact Camille Bonneaud (c.bonneaud@exeter.ac.uk) or myself (b.tschirren@exeter.ac.uk)

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Experience with spatial analyses and GIS, Bayesian statistical approaches, and / or Structural Equation Modelling is a plus. There will be substantial freedom to shape the direction of the research according to your expertise and interests.

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We are looking for someone with: - A PhD in disease ecology, ecology, epidemiology, or a related field - Strong quantitative skills - Experience working with complex ecological datasets - A track record of publishing high-quality research

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The successful candidate will tackle these challenges, with a particular focus on ticks and tick-borne diseases, using innovative ecological modelling approaches.

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As cities increasingly invest in urban re-greening to address climate adaptation, biodiversity recovery, and human wellbeing, important questions remain about how these interventions affect ecological communities, vector populations, pathogen prevalence, and ultimately disease risk.

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This position sits at the exciting intersection of: 🦠 Disease ecology 🌳 Nature-based solutions 🏙️ Urban re-greening and resilient cities 🌍 Climate change 🗺️ Land-use change 🐝 Biodiversity loss and recovery

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We’re currently finalising the #ExE programme - an incredible lineup of speakers and titles. Just 1 place left before we sell out… who’s taking it? 👀 #ExE sites.exeter.ac.uk/exe/registra...

RegistrationTo register for ExE 2026, visit the conference web shop by clicking the Register button below. We also ask you to register for free events to get an overview of the number of participants. Capacitysites.exeter.ac.uk
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Apply here careers.exeter.ac.uk/vacancies/84... for the evolutionary genomics and here careers.exeter.ac.uk/vacancies/82... for the senescence position. Deadline: June 30th 2026 @andyyoung.bsky.social @mattjsilk.bsky.social @jon-slate.bsky.social @davehodgson.bsky.social @badgerproject.bsky.social

careers.exeter.ac.uk
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The positions are based at @uniexecec.bsky.social at the University of Exeter’s Penryn Campus in Cornwall, and they are funded for 4 and 3.5 years, respectively, with an October 2026 starting date (flexible).

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One of the roles focuses on the evolutionary genomics of badger - bTB interactions; the other on the evolutionary ecology and genetics of senescence.

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The project builds on 50 years of longitudinal data from the Woodchester Park project, incl. bTB infection, life history, behavioural / movement, physiological / immunological and fitness data, paired with medium coverage whole-genome sequencing data for 2,500+ badgers across the study period.

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The project is ideal for candidates excited by fundamental evolutionary questions at the intersection of wildlife disease ecology, genomics, and immunology. You will have significant freedom to develop the project in directions that match your interests and strengths. 🔬🧪🐭

NERC GW4+ DTP PhD studentship | University of ExeterAbout the PartnershipThis project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP).tinyurl.com
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You will combine whole-genome resequencing 🧬 and pathogen screening 🦠 to test how fluctuating selection and antagonistic pleiotropy shape genetic diversity, with a special focus on the trade-off between resistance and autoimmune disease risk / immunopathology.

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This PhD project aims to uncover the evolutionary forces that maintain genetic variation in disease susceptibility in natural populations, using bank voles 🐭 (Myodes glareolus) as a model.

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