Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
-
., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models
-
: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
-
Your Job: Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc) Apply machine learning/AI
-
to target species. Field Equipment & Safety: Operate and maintain resource management tools and monitoring equipment. Follow wilderness safety protocols and Leave No Trace principles. Geospatial & Data Skills
-
to respond to the climate health crisis and contribute to mitigation strategies. Our researchers are working to define key challenges and identify more sustainable solutions. We are also launching a Geospatial
-
and drop-in lab hours, technical support, training and software licensing. The Junior/Assistant GIS Specialist focuses specifically on geospatial analysis, data management, instructional support
-
consolidates geology, spatial sciences, advanced analytical techniques, geophysics, planetary science and more, to provide world-class training for geoscientific and geospatial careers, and undertake fundamental
-
these physical spheres have evolved over Earth’s history and observe through geospatial science in order to understand interactions between each sphere and all life. We are a diverse team of experts who deliver
-
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