Sort by
Refine Your Search
-
Employer
- Cornell University
- Stanford University
- Texas A&M University
- TTI
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- Texas A&M University System
- University of California Riverside
- University of Florida
- University of Illinois
- University of Illinois at Urbana Champaign
- University of Maine
- University of Maryland
- University of Nevada, Reno
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Oregon
- University of Washington
- 8 more »
- « less
-
Field
-
expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
-
proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
-
: Analyses Utilize statistical programming languages including but not limited Stata, SAS, R, Python. Perform data linkages. Perform statistical analysis of large dataset to investigate the associations
-
MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and GIS