Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
, including experience with GIS software and geospatial data analysis Experience working in interdisciplinary teams Strong writing and communication skills Essential Functions Collaborate on research
-
At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
-
, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
-
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
-
GIS applications (e.g., ArcGIS) and the integration of geospatial data for analyzing spatial patterns of inequality, innovation, or business activity. Demonstrated ability to work with U.S. Census and
-
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
-
Associate in Citizen Participation in Science and Decision-making to contribute to innovative research at the intersection of social sciences, geospatial data, and experimentation. This position is tailored
-
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
-
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