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a particularly suitable venue for conducting interdisciplinary research in eco-evolution. The ECO-EVO BIODIV project is based within the Genetics and Evolutionary Ecology (GEE) team at CEEFE (https
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an independent research profile and contribute to shaping the future direction of the group. We work at the interface of biodiversity science, trait-based ecology, landscape ecology, and quantitative spatial
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at the intersection of environmental economics, spatial analysis, and social-ecological systems, the Postdoctoral Researcher will lead the development of an inventory and spatial database of ecosystem services impacted
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sequestration, and watershed protection. ● Conduct ecological, hydrologic, or biomass simulations and spatial analyses to model long-term forest dynamics under climate change scenarios. ● Discuss and plan novel
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Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat mapping, and environmental data integration components of a major applied research initiative that will
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
extrapolate LiDAR-constrained structural data across broader spatial and temporal scales. The participant will collaborate with researchers to evaluate encoder adaptations that incorporate both synthetic
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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, spatial statistics, machine learning approaches, large ecological datasets Previous experience with passive acoustic monitoring and/or eBird data Familiarity with ecology and/or ornithology Demonstrated