This opportunity is no longer open for applications. Thanks for your interest.
The Centre for Immunity, Infection and Evolution (CIIE) in Edinburgh is looking to attract dynamic and enthusiastic researchers, eager to operate at the interface between disciplines (e.g. infection biology, immunology, evolutionary biology, ecology, epidemiology and mathematical modelling) to create new research paradigms to tackle infectious diseases. To promote this, CIIE is offering two interdisciplinary research fellowships of two years' duration, with the intention of providing a springboard for independent fellowship applications. Fellowships can be linked to, or combine, existing scientific areas within the Centre, though applicants with their own research projects within the remit of the Centre are also welcome.
CIIE is hosted within the Institute for Immunology and Infection Research and Institute for Evolutionary Biology, these being part of the ‘Edinburgh Infectious Disease’ research community, one of the largest groups of infection biologists world-wide. Together with our host Institutes, we will also welcome inquiries from researchers holding, or interested in applying for, externally-funded independent research fellowships in the area of interdisciplinary infection research.
A collaboration between the Edinburgh Epigroup (Prof Mark Woolhouse, CIIE) and the Zoonotic and Emerging Diseases group (Prof. Eric Fevre, University of Liverpool) has created a potential fellowship opportunity within CIIE entitled: Landscape genetics of enterobacteria in western Kenya, which would combine epidemiological, statistical and phylogenetic skills to understand zoonotic bacterial transmission and diversity in the small-holder livestock keeper system in western Kenya.
Application should be made via the University of Edinburgh website (vacancy ref no 016064), and are open to candidates of all nationalities.
The Zoonotic and Emerging Disease group studies a range of epidemiological issues revolving around the domestic livestock, wildlife and human interface
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