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Research Infrastructure? No Offer Description Mission: Develop an end-to-end (E2E) Digital Twin framework for the optimization of satellite constellations dedicated to disaster monitoring (forest fires and
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for the assessment of susceptibility to forest fire damage; the elaboration in a GIS environment of the information layers representative of vulnerability (vegetation cover, land use, infrastructures, anthropogenic
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multidisciplinary research in the fields of dry forest restoration, fire ecology, post-fire forest management, and climate adaptation. This opportunity is with the Disturbance and Restoration Ecology (DARE) Team
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are seeking a Postdoctoral Researcher to join the Research Ireland funded “Future Forests” project. The Project Increasing tree diversity in planted forests can enhance ecosystem services such as wood
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position within a Research Infrastructure? No Offer Description Southern Swedish Forest Research Centre Third-cycle subject area Forest management Description of the doctoral project Birch is becoming
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Southern Swedish Forest Research Centre Third-cycle subject area Forest management Description of the doctoral project Birch is becoming increasingly important in Swedish forestry as a complement to
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, including pre-commercial thinning, commercial thinning and fertilisation, as well as tree-species comparisons that can improve guidance on site selection. The project is based at the Southern Swedish Forest
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for this award including incoming graduate students. Preference is given to wood-fire ceramic students. Not automatically renewable but former recipients may reapply. Award Varies Scopes College of Arts & Sciences
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heterogeneous sources of information—including remote sensing, forest inventory data, existing forest maps, environmental and climatic data, and emerging large-scale AI representations—can be jointly exploited
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic