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of climate change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial data analysis, machine learning and computer
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Job Description We are searching for a postdoctoral researcher in the Hydrologic Innovation and Remote Sensing Lab of the Geoscience Department, Virginia Tech. The NASA-funded research includes a
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Tufts University, Urban and Environmental Policy and Planning Department | Medford, Massachusetts | United States | 19 days ago
and deep machine learning are preferred but not required. Successful candidate is required to have a PhD with a quantitative background and first authored peer-reviewed publication(s) in remote sensing
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. The Davies Lab draws on the fields of community and ecosystem ecology, animal behavior, and remote sensing to explore multiple facets of animal-ecosystem interactions. We are part of Harvard’s Department
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spatial analysis experience, and the ability to integrate climate, statistical modeling, remote sensing, and social survey datasets. The selected postdoctoral fellow will investigate: Mechanisms connecting
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activity, and coastal protection benefits in the Caribbean. The postdoc will lead the development and application of a modeling framework to integrate remotely sensed datasets with coastal hydrodynamic
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in the Arctic and Antarctica using remote sensing, laboratory measurements, and field data. The candidate will be based at OSU, but will have opportunities to work directly with co-investigators
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Sciences at Syracuse University seeks applicants for a Postdoctoral Researcher position in snowmelt detection using satellite remote sensing. This is a fully funded, full-time, 1-year position (renewable
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of climate finance, climate policy, resilient development, and climate risk analytics. Experience analyzing big data, ensemble simulations, and remotely sensed data products. Efficiency in the use of high
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on-site at the Lawrence, KS campus with the possibility of a hybrid (remote and on-site work) schedule as deemed by the supervisor. The position will require occasional overnight travel to field sites