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closely with Dr. Thomas Morrison at the University of Glasgow. The ideal candidate will have experience in movement ecology of large mammals, particularly deer, and will have experience in the analysis
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the world's first graphene and 2D-materials foundry in the UK and addressing supply chain needs. In particular, the University of Glasgow will lead on reliability testing using techniques that have not been
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Statistics at the University of Glasgow. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is available for a period of 30 months. The successful candidate will also
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and that of The University of Glasgow/ School/ Research Group, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in
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, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research profile and reputation and that of The University of Glasgow/School/Research Group, including contributing
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the world's first graphene and 2D-materials foundry in the UK and addressing supply chain needs. In particular, the University of Glasgow will lead on reliability testing using techniques that have not been
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. Develop and enhance your research profile and reputation and that of The University of Glasgow/ School/ Research Group, including contributing to publications of international quality in high profile
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” working with Dr John Mercer’s research group at the University of Glasgow and in collaboration with Dr Steve Neale at Glasgow. The successful candidate will also be expected to contribute to the formulation
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designing research deliverables for project funders. 4. Develop and enhance your research profile and reputation and that of The University of Glasgow including contributing to publications of international
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change. The postholder will be based at the School of Mathematics and Statistics, University of Glasgow working with Prof Christina Cobbold and will work jointly with project partners Drs Steven White and