Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, 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
-
agencies, land trusts, conservation organizations, and networks to seed growing capacity in nature-based solutions. What You’ll Do: Research & Analysis: Perform literature reviews, geospatial analysis (GIS
-
Benning, aimed at enhancing geospatial capabilities for the Directorate of Public Works (DPW). Interns will play a key role in building and maintaining an Enterprise GIS system that supports infrastructure
-
refereed journals. • Demonstrated proficiency with industry-standard GIS software (e.g., ArcGIS Pro, QGIS). • Experience with geospatial data analysis and scripting, preferably using Python or R. • Strong
-
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
-
-scalar and multisector planning approaches for agriculture integrating novel socio-technical methods, biophysical and geospatial (GIS and remote sensing) modelling •Thesis drafting and submission
-
question answering. You will: develop a semantic framework and knowledge graph to represent geodata sources, their analytical purpose and their provenance, including abstract geospatial workflows; design AI
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
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
-
and geospatial tools to address fundamental questions in biogeography. Resulting maps and models will be used to characterize patterns of biodiversity, spatial turnover (β-diversity), and habitat