Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- AALTO UNIVERSITY
- Texas A&M AgriLife
- National Aeronautics and Space Administration (NASA)
- Rutgers University
- Stanford University
- University of Florida
- University of Minnesota
- University of North Carolina at Chapel Hill
- MAYNOOTH UNIVERSITY
- McGill University
- Princeton University
- The Ohio State University
- University of New Hampshire
- Utrecht University
- Brown University
- Central State University
- Consortium Virome@tlas
- Duke University
- Medical College of Wisconsin
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- Texas A&M University
- The University of Memphis
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University of Maryland
- University of Nevada Las Vegas
- University of North Carolina at Charlotte
- University of Oregon
- University of Sydney
- University of Texas at Austin
- University of Washington
- 24 more »
- « less
-
Field
-
vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda of this research is assessing the fitness of geospatial indicators to inform conceptual and policy
-
following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
-
– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
-
(GAM) and statistical and geospatial software (R, ArcGIS, QGIS) is strongly preferred. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 5 days ago
the combination of socioeconomic data and geospatial information. Experience with the calibration and deployment of low-cost sensors is preferred. Occasional travel may be necessary. Field of Science: Earth
-
infrastructure, with their flagship project being the development of the EarthBank platform. The EarthBank platform (previously AusGeochem) is an open access geospatial data platform for archiving, disseminating
-
chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
-
spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
-
, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
-
historical CORONA satellite imagery Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations Apply cutting-edge geospatial and statistical modeling techniques to quantify