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with global social and ecological spatial data. Contribute to the design and implementation of the interactive web platform, ensuring it provides clear and actionable information on regime shift risks
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on developing ecosystem models for high-latitude ecosystems and to scale-up these spatially as well as temporally using state-of-the-art ecosystem models. Your profile The successful applicant must have obtained
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use of models for assessing spatially differentiated mitigation measures in agriculture. The Department’s research and advisory activities are project-driven with a solid tradition of cross-disciplinary
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use of models for assessing spatially differentiated mitigation measures in agriculture. The Department’s research and advisory activities are project-driven with a solid tradition of cross-disciplinary
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existing institutional excellence in ecology. We are searching broadly for creative and collaborative individuals (1) working at any spatial scale, from local to global, in any system, (2) studying any level
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significant and growing threat to communities worldwide, intensified by climate change and sea-level rise. Traditional coastal defence structures can be ecologically disruptive and expensive. Porous breakwaters
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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. 20% - Investigate the spatial patterns. 20% - Present at scientific meetings and publish in the primary scientific literature. Requirements Ph.D. in fisheries, ecology, marine biology, bioinformatics
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven