Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- AALTO UNIVERSITY
- Cornell University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
- University of Florida
- University of North Carolina at Chapel Hill
- National Aeronautics and Space Administration (NASA)
- Stanford University
- Texas A&M AgriLife
- Duke University
- ERATOSTHENES CENTRE OF EXCELLENCE
- The Ohio State University
- University of Minnesota
- University of North Carolina at Charlotte
- University of Washington
- Utrecht University
- Aalborg Universitet
- Aalborg University
- Argonne
- Barcelona Supercomputing Center (BSC)
- CNRS
- Central State University
- Consortium Virome@tlas
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- KTH Royal Institute of Technology
- MAYNOOTH UNIVERSITY
- NATIONAL LAND SURVEY OF FINLAND
- Northeastern University
- Oak Ridge National Laboratory
- Rutgers University
- Scion
- Technical University of Denmark
- Texas A&M University
- Texas A&M University System
- The University of Chicago
- The University of Memphis
- University of Arkansas
- University of California Riverside
- University of Canterbury
- University of Kiel;
- University of Massachusetts
- University of Nevada Las Vegas
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Oregon
- University of Reading
- University of Southern California
- University of Sydney
- Washington University in St. Louis
- 40 more »
- « less
-
Field
-
Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
-
Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
-
We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
-
based on empirical studies and/or model simulations. The candidate should assemble and evaluate quantitative proxy reconstructions, and apply geospatial and/or numerical modeling methods to investigate
-
of Aalborg University. Job Description This position is part of the cross-disciplinary DK-Future project – Probabilistic Geospatial Machine Learning for Predicting Future Danish Land Use under Compound Climate
-
physical location of this position will be at the Copenhagen campus of Aalborg University. Job Description This position is part of the cross-disciplinary DK-Future project – Probabilistic Geospatial Machine
-
Science, Geospatial Science, or a related field. Experience processing satellite imagery (Sentinel-2, Landsat/HLS), including atmospheric correction, cloud masking, and geometric/radiometric preprocessing
-
, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines
-
to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
-
the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2) integrate crop, hydrologic, and GHG/energy models to quantify trade-offs