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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work within
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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and community-level analyses across aquatic and terrestrial taxa Apply advanced statistical approaches, including multivariate methods, to analyse complex ecological data Contribute to the integration
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evaluating raw data. · Manage data storage, backup, and retrieval. Troubleshoot networked computers and network architecture/connections to facilitate data transfer, storage, and retrieval. · Work together
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Research Assistant/Marie Skłodowska-Curie Actions (MSCA) Doctoral Network PhD Studentship, Commencing October 2026 (3 years) The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a
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. Where to apply Website https://www.cam.ac.uk/jobs/research-assistantmsca-doctoral-network-phd-students… Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications
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forest–lake systems Contribute to trait-based and community-level analyses across aquatic and terrestrial taxa Apply advanced statistical approaches, including multivariate methods, to analyse complex
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occurring below ground. Trees allocate a substantial proportion of their carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and