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the restoration of peatland and coastal ecosystems? As one of the two 4-year PhD positions in the NWO funded project ‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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Methods and Artificial Intelligence for Assessing the State and Functioning of Ecosystems across Scales Spatio-temporal modelling of remote sensing data for monitoring geohazards in dynamic landscapes
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-dioxide from the atmosphere, and also emits nitrous-oxide and methane, important greenhouse-gases formed by marine ecosystems. We urgently need to understand the processes regulating these air-sea fluxes
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, immune tolerance, and advanced human in-vitro modelling. We collaborate extensively within the Life Sciences ecosystem of Utrecht University and with clinical and industrial partners to develop innovative
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well as high motivation to pursue doctoral studies. Previous experience with plant nitrogen physiology, trees as a model system, genetics, genomics, and bioinformatics are valuable merits. Place of work: Umeå
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to undertake research and development activities in the areas identified below: State level climate vulnerability assessment for SA Aquatic Ecosystems (climate change/water) Analysis of rainfall data to identify
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PhD: Integrated Assessment Modelling of Climate Feedbacks, Tipping Points Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application
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millions of images of wildlife worldwide, offering unprecedented insights into ecosystems. However, analysing these datasets is a major challenge: AI systems excel at detecting common species but often fail
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. For example, marine bivalves – including the widely beloved scallops and oysters – are exploited by humans for food across the world, while also being important players in ecosystems. However, a critical first