Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- Aarhus University
- Duke University
- ETH Zurich
- McGill University
- National Aeronautics and Space Administration (NASA)
- New York University
- Stanford University
- Utrecht University
- ;
- Aalborg University
- Central State University
- East Carolina University
- Escola Superior de Agricultura Luiz de Queiroz/ESALQ/USP
- George Washington University
- Kentucky State University
- Leibniz
- MAYNOOTH UNIVERSITY
- Northeastern University
- Princeton University
- Rutgers University
- Saint Louis University
- Texas A&M AgriLife
- Texas A&M University
- The University of Arizona
- The University of Memphis
- University of Antwerp
- University of California Berkeley
- University of Cincinnati
- University of Florida
- University of Houston Central Campus
- University of Hull
- University of Liverpool
- University of Maryland
- University of Nevada Las Vegas
- University of North Carolina at Charlotte
- University of Oxford
- University of Texas at Austin
- William and Mary
- 30 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
-
, including familiarity with programming environments such as R or Python. Experience with geospatial analysis and/or systems modeling around agriculture/food/energy applications, as well as experience working
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
following areas: data management, survey methodology, multilevel regression, causal inference, machine learning, geospatial analysis. Preference is also given to applicants with research interests in one
-
postdoctoral position is available to work with a multidisciplinary team of researchers from the University of Maryland’s Center for Geospatial Information Science (CGIS ), National Center for Smart Growth (NCSG
-
programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated