Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- Rutgers University
- Stanford University
- AALTO UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
- University of North Carolina at Chapel Hill
- University of Washington
- Aalborg Universitet
- Aalborg University
- Aarhus University
- Delft University of Technology (TU Delft)
- European Space Agency
- KTH Royal Institute of Technology
- Kiel University;
- LISER
- Nature Careers
- Northeastern University
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Technical University of Denmark
- The University of Memphis
- Universidade de Coimbra
- University of Amsterdam (UvA)
- University of Arkansas
- University of California Irvine
- University of California Riverside
- University of Florida
- University of Illinois at Urbana Champaign
- University of Minnesota
- University of Oregon
- Utrecht University
- Washington University in St. Louis
- 22 more »
- « less
-
Field
-
Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
-
present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong
-
. Where to apply Website https://www.academictransfer.com/en/jobs/357259/postdoc-air-quality-emission-sc… Requirements Specific Requirements A PhD in environmental sciences, geosciences, computational
-
restoration measures. Prioritisation and optimisation of land for biodiversity, relative to other societal challenges, in particular climate change. Geospatial analyses of past and current land use patterns
-
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
-
appointment, with potential renewal based on performance Appointment Start Date: September 1, 2025 Group or Departmental Website: https://htdatalab.stanford.edu/ (link is external) How to Submit Application
-
qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
-
height can be used to derive urban morphology types and assess their links to climate resilience. You will develop and apply data-driven methods to integrate satellite, aerial, and ancillary 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
-
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