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Field
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recovery during periods of rapid climate and environmental change, spanning multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with
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multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences at the University of Sydney. The School of Geosciences is a dynamic, collegial
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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the spatial heterogeneity of CH4 emission using analytical footprint model and a lagrangian stochastic transport model. About the position Depending on the appointee’s competency and the type of employment
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of toxicants may also be a component of this position. The studies utilize molecular and cell biological technologies, including single cell RNAseq/CITEseq, bulk RNA profiling and qPCR, spatial biology, flow
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Job Summary Are you passionate about applying cutting-edge GIS Mapping and Water Quality modeling techniques to address critical environmental challenges? Join us in an exciting initiative aimed
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy