Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Stanford University
- Utrecht University
- Rutgers University
- Texas A&M AgriLife
- University of Minnesota
- University of North Carolina at Chapel Hill
- MAYNOOTH UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Princeton University
- The Ohio State University
- University of Florida
- Brown University
- Central State University
- Duke University
- East Carolina University
- George Washington University
- Kentucky State University
- Maynooth University
- Medical College of Wisconsin
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- Texas A&M University
- The University of Memphis
- UNIS
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University of Antwerp
- University of Cincinnati
- University of Liverpool
- University of Maryland
- University of Nevada Las Vegas
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of Oregon
- University of Oxford
- University of Sydney
- University of Texas at Austin
- 31 more »
- « less
-
Field
-
chambers, (2) field sampling and lab analyses to quantify rates of carbon sequestration into soils and vegetation, and (3) geospatial upscaling of results to estimate the carbon and greenhouse gas balance
-
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
-
point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
-
, 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 | 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
-
science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and interests Stanford is an equal opportunity employer
-
, 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
-
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
-
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
-
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