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Post-doctoral fellow in geoinformatics (GIS) Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around
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with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API
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undergraduate and graduate research projects, experiential learning opportunities, and thesis projects involving GEO-AI, GIS, remote sensing, environmental science, and related disciplines. Develop and support
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modelling. Demonstrated competence of programming languages, such as Matlab, R, or Python, within a GIS environment Ability to publish and communicate effectively to both technical and non-technical
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on conventional GIS visualization. It centers on building rigorous, high-fidelity, georeferenced 3D environments that serve as the structural backbone for analytics, simulation, and next-generation
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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framework, including the development and management of GIS layers and mapping products. Identify and evaluate soil functions, ecosystem services and threats relevant to cotton systems, and develop
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Doctorate -Wildlife Ecology and Decision Science Minimum Requirements Background managing and analyzing large datasets, developing geospatial models and tools, familiarity with ESRI products or similar GIS
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, Brightway, Python, R, GIS platforms, or related analytical tools is desirable. Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is
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paleoseismic documentation standards appropriate for independent technical review, and with geochronological methods used to date past earthquakes Proficiency with relevant mapping, drafting, GIS, and