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with expertise in remote sensing. The successful candidate will be expected to teach courses in introductory remote sensing (2-3 courses per year), advanced remote sensing, LiDAR theory and applications
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Qualifications Knowledge of Remote sensing of surface water quality, numerical modeling, GIS, leadership and advising skills, teaching, & writing experience. Appointment Type Salary Information $50,000-$55,000
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Data Science, PhD in Applied Statistics or Computer Science with research focus on natural resource remote sensing Required Other Additional Preferred Experience or education in agriculture, natural
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stakeholders. The candidate will help to support and grow the geographical (i.e., GIS, remote sensing, GPS, UAVs) and eco-geological (i.e., salt marsh/mangrove/estuarine processes) monitoring capabilities within
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opportunity to gain teaching experience. The project is well suited to applicants with a strong background in remote sensing, snow science, hydrology, GIS, and/or climate science. Prior remote sensing research
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to learn new GIS, mapping, and spatial analysis tools. Experience using a variety of library resources and enthusiasm for teaching others to use those resources. Demonstrated excellent interpersonal and
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. PharmD, PhD, or equivalent t erminal d octo ral degree ( e.g., Doctor of Nursing Practice , Doctor of Physical Therapy ) required. 7+ years relevant experience required. Demonstrate excellent interpersonal
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research in written and oral forms, generating novel ideas for new, interdisciplinary research, working with large, multi-layered spatial data sets (e.g. Remote Sensing and GIS), and contributing
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, GIS, and programming (i.e., R or Python). Excellent analytical skills, including experience with handling of large datasets, remote sensing, and analyses. Experience with Website design and maintenance
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, network programming and routing Optical metrology for surface texturing and imaging Remote sensing and Photogrammetry Drones mapping LiDAR and Optical mapping Digital image correlation (DIC) Synthetic