Sort by
Refine Your Search
-
Listed
-
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
- ;
- 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
- Medical College of Wisconsin
- 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 California Berkeley
- University of Cincinnati
- University of Florida
- University of Hull
- University of Liverpool
- University of Maryland
- University of Minnesota
- University of Nevada Las Vegas
- University of North Carolina at Charlotte
- University of Oxford
- University of Texas at Austin
- Utrecht University
- William and Mary
- 30 more »
- « less
-
Field
-
to conduct biogeochemical and geomorphological research, including field data collection and analysis using remotely sensed imagery and geospatial data. The scholar will conduct scientific literature reviews
-
. Candidates should have advanced skills in programming (e.g., R or Python) for processing and visualizing geospatial data, particularly time series of remotely sensed data, as well as ecological datasets
-
research skills, particularly in statistical modeling, geospatial analysis, and health metrics evaluation. Experience working with a variety of spatial datasets, including remote sensing data, for health and
-
and organizational skills Experience or interest in learning open source software design and data curation Experience in agricultural economics or agricultural policy (e.g. crop insurance) Geospatial
-
relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic assessment, and geospatial
-
, Goldberg, and Kerr in order to advance their career in academic research, public health practice, and/or public policy. Important geospatial datasets used for this research include chemical transport
-
, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
google earth engine). Must have experience working geospatial data. Preferred Qualifications, Competencies, and Experience Experience with optical satellite imagery, remote sensing of water quality
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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 | 2 days 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