Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Colorado State University
- Michigan State University
- Stanford University
- University of New Hampshire
- University of New Hampshire – Main Campus
- Argonne
- Forschungszentrum Jülich
- Indiana University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mohamed bin Zayed University of Artificial Intelligence
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- North Carolina State University
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- Texas A&M University System
- University of Oklahoma
- University of Oslo
- University of Washington
- William and Mary
- Zintellect
- 12 more »
- « less
-
Field
-
data, data assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate
-
models. Experience with remote sensing and Earth observation data integration into hydrologic or environmental models. Demonstrated experience with AI (ML/DL), data assimilation, or advanced statistical
-
models. Experience with remote sensing and Earth observation data integration into hydrologic or environmental models. Demonstrated experience with AI (ML/DL), data assimilation, or advanced statistical
-
models. Experience with remote sensing and Earth observation data integration into hydrologic or environmental models. Demonstrated experience with AI (ML/DL), data assimilation, or advanced statistical
-
. Competencies: Expertise in uncertainty quantification and statistical methods. Experience with data assimilation techniques. Experience applying machine learning approaches to ocean or coastal modeling
-
instrument operation and maintenance experience (e.g. GC/MS and LC/MS analysis), including hands-on operation, and including data reduction and interpretation and communication of results Demonstrated
-
candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models