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Field
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda of this research is assessing the fitness of geospatial indicators to inform conceptual and policy
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate change" (f/d/m) (HIPP26 #2
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, hydrology, water quality, and climate-related data. Lead data processing, ensuring data quality and consistency. Conduct water quality modeling for multiple Florida watersheds using Watershed Assessment Model
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
to Antarctica and its surrounding waters to explore it, and also, in some cases, to exploit it. At the same time, the Southern Ocean, which plays a key role in regulating our climate through ocean currents, sea
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and improve an assemblage of biological data sets on species’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic
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’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic techniques. This holistic approach strengthens our ability to address