Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
or Green Card sponsorship. This position does not offer a STEM OPT training program. Qualifications Required Qualifications: BA/BS degree in Remote Sensing, GIS or similar science/geography field plus
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
-
Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
-
approaches. Experience working with global livestock, land-use, climate, remote-sensing. Satellite images, or sustainability indicator datasets. Competence with GIS tools and spatial analysis software
-
. - Experience working with global livestock, land-use, climate, remote-sensing. Satellite images, or sustainability indicator datasets. - Competence with GIS tools and spatial analysis software. - Experience with
-
, Introduction to Remote Sensing, Geospatial Analytics, Geospatial Data Management, and Digital Cartography and Geovisualization. A PhD in Geospatial Science or a closely-related field is required. Create a Job
-
. Experience with remote sensing Knowledge, Skills, and Abilities Expertise in plant ecology. Knowledge of Midwestern flora (including wetlands and Great Lakes coastal vegetation). Knowledge, including
-
discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient
-
assessment of lectures and any associated labs for earth and ocean sciences, environmental science, coastal resiliency, coastal geography, geology, GIS, remote sensing, biological oceanography, coastal and
-
equally between teaching Remote Sensing and GIS at bachelor and master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis