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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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and outstanding education are interlinked and equally valued. We are seeking a Senior Post-Doctoral Researcher to join the Geospatial Machine Learning (Geo-ML) project in the National Centre
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: wildlife ecology, biogeography, conservation science, environmental science, habitat suitability modeling/geospatial analysis, field studies Description: The Institute at Brown for Environment and Society
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing, Integrated Assessment Models (IAMs), and large-scale geospatial data to evaluate and
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://infographics.uoregon.edu/ . Minimum Requirements (updated): To qualify for Research Assistant (Type B): • Bachelor's degree in spatial or design field • Two years’ professional experience working with geospatial and/or
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL