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: Experience with remote sensing analysis, geographic information system, or flood mapping and analysis. Experience with geospatial data management. Knowledge of cloud-based applications. Preferred
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will independently develop research, lead specific projects, and complete research-related tasks including writing proposals, acquisition and processing of remote sensing observations, scientific
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land maps and their interpretations into contemporary remote sensing databases for agricultural development using Geographic Information System software e.g. ArcGIS. You will consolidate historical
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. Tasks: · Working with supervisor, define the training modules, tools, processes, etc. that are necessary · Work remotely or onsite as needed to complete the training Minimum Qualifications
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disciplines such as biogeosciences, hydrology, or remote sensing to investigate a variety of environments including wetlands and karst environments. Previous experience with near-surface geophysical techniques
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, institute, and/or university level. Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department
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, institute, and/or university level. Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department
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of Ecosystem Dynamics and Remote Sensing is seeking a highly motivated Postdoctoral Associate to lead research in modeling vegetation photosynthetic activities using space-borne LiDAR data. The successful
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"). Work Type: Full or Part Time: 80% - 100% This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite
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, seismology, remote sensing, and fault mechanics, as well as earthquake hazards; (b) Volcanology: geochemistry, physical volcanology, igneous petrology, and volcanic systems modeling; (c) Climate science