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Field
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: wildlife ecology, biogeography, conservation science, environmental science, habitat suitability modeling/geospatial analysis, field studies Description: The Institute at Brown for Environment and Society
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predict key climate variables such as precipitation and temperature which are essential for forecasting extreme events. These models will be applied to Morocco’s arid and semi-arid regions, aiming
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Current climate change scenarios estimate the growth zones to shift approximately 80 km northwards in a decade, and the speed is likely to accelerate towards the end of the century. On the other
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of continental surfaces and their interaction with climate and humans, with emphasis on sustainable management of natural resources (soil, land, water, agriculture) in the context of Climate Change. One
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We are seeking a highly motivated person to conduct research in economic modelling of forest resources to support analysis of environmental and climate change issues. About the position The project
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environmental assessment and marine management.In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop digitally, we
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 21 hours ago
by improving satellite-derived and model-based hazard assessments for wildfire forecasting, climate resilience, and risk mitigation. Field of Science: Earth Science Advisors: Hugo Lee huikyo.lee
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scheme. The overall aim of the project is to generate the first robust quantification of the role of sedimentary rock weathering as a positive feedback on climate change, constraining its role in the long
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publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national/international
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are applying an integrated approach that combines understanding of pathogen biology and plant immunity to inform the development of climate-resilient crops, using the interaction of bacterial pathogens with