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Field
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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 | about 9 hours 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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learning and convolutional neural network architectures is required at the graduate level (MSc or PhD). Familiarity of working with remote sensing airborne and satellite datasets as well as 3D datasets is
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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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under the direct supervision of Emily Reinke, PhD, the student will: General duties: · Complete all preparatory work for the position of Research Technician II which will begin on May 20, 2024
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Salary: Salary Commensurate with Experience Location:East Lansing Categories:Education/Training, Health Care Professional, Fixed Term Faculty, Full Time (90-100%), Non-Union, Remote-Friendly Working
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
networks Advanced understanding of remote sensing principles Experience working with large remote sensing datasets Strong programing skills with a preference for Python and Julia languages Strong record
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Department of Earth and Spatial Sciences, University of Idaho | Moscow, Idaho | United States | 12 days ago
Based Adaptation to Climate Change in Undeserved Rural Communities. One PhD student will focus on remote sensing and spatial analysis of environments under change and the second will focus on climate
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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