566 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "University of St" positions at University of Sheffield
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) Disparities among crop species in the evolution of growth rates: the role of distinct origins and domestication histories. New Phytologist, 233, 995-1010. https://nph.onlinelibrary.wiley.com/doi/10.1111/nph
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-1 receptors in neuro-endocrine cells. Investigations into ligand and location bias within this context could aid the development of the next generation of GLP-1 agonists for the treatment of diverse
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The development of flexible cognition in children and adults School of Psychology PhD Research Project Self Funded Dr D Carroll Application Deadline: Applications accepted all year round Details
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BBSRC Yorkshire Bioscience DLA Programme: Genomics and development of an exaggerated sexual trait in stalk-eyed flies School of Biosciences PhD Research Project Competition Funded Students
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for agricultural applications to improve crop yield, water management, and nutrient optimisation. PhD students will be involved in the development of novel sensors for mixed field neutron and gamma ray detection in
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experimental approaches to explore fundamental evolutionary processes. While the majority of our research centres on the grass family (Poaceae), we welcome students with a broad interest in plant evolution
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see the University page on English Language requirements for Postgraduate courses: https://sheffield.ac.uk/postgraduate/english-language Proposed start date: 01 October 2026 How to apply: Please
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candidates for this project should have a strong background in Applied Mathematics, Engineering, Physics or other related disciplines. Full details of how to apply can be found at the following link: https
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natural examples of convergent evolution. A key characteristic of all parasitic plants is the development of a remarkable organ: the haustorium -a feeding structure that enables parasites to invade host
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. Methodologically, the project will involve statistical modelling of longitudinal outcomes, NLP model development using transformer-based approaches, and mixed-methods evaluation informed by implementation science