Sort by
Refine Your Search
-
Country
-
Employer
- Oak Ridge National Laboratory
- Université Grenoble Alpes
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Association of German Research Centres
- National Aeronautics and Space Administration (NASA)
- Carnegie Mellon University
- Chalmers University of Technology
- EPFL
- ETH Zürich
- Florida Gulf Coast University
- National Energy Technology Laboratory (NETL)
- Pennsylvania State University
- Rutgers University
- Technical University of Munich
- Texas A&M AgriLife
- Texas A&M University
- University of Amsterdam (UvA)
- University of Lund
- University of North Carolina at Chapel Hill
- University of Vermont
- Utrecht University
- Virginia Tech
- 12 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
-
core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
-
core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
-
morphodynamic numerical modeling. Field data collection and analysis of nearshore dynamics. Design and analysis of flood control infrastructure. Nature-based flood mitigation solutions. Flood risk and hazard
-
., flooding, heat waves) with agent-based modeling. Publication in scientific conferences and high-impact journals. Supervision of Bachelor and Master theses. Administration related to the work duties listed
-
/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
-
of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
-
. The externally funded research includes application of multiple remote sensing technologies for quantification of water resources and related hazards, including water overdraft, land subsidence, flooding, and
-
core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
-
communication skills. Excellent communication skills and public engagement experience. Experience with ecosystem services modeling or flood‑risk assessment. Familiarity with rural or private landowner engagement, survey