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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches
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pumps (GSHPs). Shallow geothermal energy is renewable, reliable, environmentally friendly and readily available independent of location, but remains underutilised. This is often associated with high
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and real-time controller. Support validation using HIL platforms, dynamometer testing and environmental characterisation data, as required by the project plan. Work collaboratively with academic and
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Primary supervisor - Dr David Lea-Smith Engineering biology has enormous potential to address global environmental challenges like bioremediation, biosequestration, pollutant monitoring, and
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:1 in Natural Sciences, Environmental Sciences, Physics, or similar subject. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is in a competition for a
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their cells in response to different environmental stimuli and stresses [1]. These changes in cellular calcium concentration trigger many downstream responses, including re-programming of gene expression
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health/epidemiology/social science/sociology/biology/environmental sciences/microbiology/statistics/veterinary or human medicine). Applicants whose first language is not English require an IELTS score
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University: (https://www.ncl.ac.uk/nes/people/profile/samwilson.html ) Yulia Yuzenkova (https://www.ncl.ac.uk/medical-sciences/people/profile/yuliayuzenkova.html ) Eligibility Criteria Due to funding
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community life. This project is likely to include qualitative social science methods, though other methods may also be relevant. There will also be scope for the student to shape the project around their own
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relevance to both pathogen biology and ciliary/flagellar function across eukaryotes. Closing Date is 31 July 2026 Further information about the course can be found by clicking the 'Apply' button above. All