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, detail-oriented data-detective work Georeference scanned historical maps, aerial photographs, and archival floor plans in QGIS or equivalent GIS software Digitise and vectorise spatial features (polygons
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skills in GIS, Remote Sensing (including LiDAR/GEDI and WorldView-2 imagery), and the application of Object-Based Image Analysis (OBIA) to classify complex land covers. We are seeking a researcher who
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and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models
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Help driving forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a main role in developing digital tools and methodologies
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Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets Experience with scientific writing Excellent written and spoken English Further, we will give preference
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Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets Experience with scientific writing Excellent written and spoken English Further, we will give preference
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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assessment, industrial ecology, or related system analysis approaches. Experience in one or several of the following will also be valued: Database management software such as PostgreSQL and PostGIS Use of GIS
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: Technical University of Denmark DC8: Comprehensive water scarcity method development PhD enrolment: University of Iceland DC9: Global, regional, and local information driven by high-resolution GIS data PhD