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size, overlap, and clustering. The aim is to test how group-level interaction structure shifts tipping-point dynamics and convention formation, comparing against matched pairwise controls. By fitting
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validate innovative origami-paper eDNA sensors for the rapid detection of chemical and microbial contaminants in river water. The successful candidate will work collaboratively within a dynamic team
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the surface, a vestige of the former habitable rivers, lakes and possibly even oceans that were present >3.5 billion years ago. The water ice is found in the two polar caps, mid-latitude debris covered glaciers
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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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dynamic community where opportunity thrives, and individuals transform themselves and their world. Positions are available in countless fields and specialties. Become a Buckeye and contribute to
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Modelling Framework. The objective of this PhD position is to incorporate advanced dynamics of land-ocean coupling into this framework. Specifically, the Hydrological Discharge (HD) model simulating river
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on the study of the digital traces we left behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in
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(a partnership between Roehampton University and Cranfield University, funded by the Leverhulme Trust). Rivers are now among the most threatened ecological systems and their degradation is caused by
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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of this PhD position is to incorporate advanced dynamics of land-ocean coupling into this framework. Specifically, the Hydrological Discharge (HD) model simulating river runoff shall be extended with