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to have strong quantitative skills and experience of working with large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and
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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
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includes the Departments of: Communication, Languages and Cultures Criminal Justice English: Literature, Teaching, Pre-Law, and Creative & Professional Writing Intelligence Studies, Geospatial Science
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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
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applied remote sensing and geospatial modelling can inform agricultural water resources planning for flood and drought risk management, and (iv) what tools can support better water resources planning
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integrating multi-modal data (e.g., time series, geospatial data, text, and image - including both hydrological and human-related data) and capturing complex, non-linear relationships (Bommasani et al., 2021
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species. Field Equipment & Safety: Requires operating and maintaining resource management tools and monitoring equipment; follow wilderness safety protocols an Leave No Trace principles. Geospatial & Data
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opportunities, and is eager to learn more about snowpack and hydrology? Dr. Mark Raleigh and the Cryosphere Interactions and Geospatial Hydrology Team (CryoSIGHT; https://cryosight.org/ Link is external, Link
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California State University, San Bernardino | San Bernardino, California | United States | 24 days ago
Visualization Geospatial Analysis: Apply expert knowledge of Geographical Information Systems (GIS) for strategic data interpretation, designing and producing sophisticated, high-impact geospatial visualizations
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Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and