pests

Professor Charles Godfray’s group, co-lead with Dr Ailsa McLean, uses the pea aphid, an important insect pest, as a model system to investigate questions in evolution and ecology.

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People » Maja Založnik

Post-doctoral Researcher, Oxford Institute of Population Ageing, Department of Zoology

Maja Založnik is working on an Oxford Martin Programme on the Future of Food project investigating how changes in the age and educational structure of farming populations interact with changing pest populations to affect food security.

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New research published in Nature by Dan Bebber, Mark Ramotowski and Sarah Gurr (a past member of our Food Research Network) shows a shift towards the poles in observations of hundreds of pests and pathogens, which supports the hypothesis of global warming-driven pest movement.

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Oxford Institute of Population Ageing & Department of Zoology, University of Oxford

Salary:   Grade 7 (£29,541 to £36,298)

The Oxford Institute of Population Ageing is seeking a quantitative researcher to work with Dr George Leeson in collaboration with Dr Mike Bonsall (Department of Zoology) on a project funded by the Oxford Martin Future of Food Programme.

Main responsibilities will be to conduct population modelling scenarios. As part of the scientific team at the Institute, the incumbent will be asked to contribute to research tasks related to demographic and statistical analysis. This is an exciting opportunity to contribute to the development of a world-leading research programme.

Applications should be submitted by 3 June 2013.

For more information and how to apply, please see the Job Details on the Oxford University Recruitment website

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People » Mike Bonsall

Professor of Mathematical Biology

Mike Bonsall is a population biologist and has research interests across range of disciplines including biodiversity, ecology, evolution, health and economics.

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This project addresses two key elements of the food security debate: the role of environmental change, climate and insects, and the structure of the farming population, age and gender.

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