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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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Northern Ireland (UK) will ensure policy relevant outputs. The candidate should be proficient in GIS and Python with, ideally, a familiarity with the offshore windfarm sector and marine geomatics. Please
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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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, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with state agencies, and
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validated models. The group brings together expertise in urban morphology, Space Syntax, GIS, urban analytics, pedestrian modelling and Social-Ecological Urbanism. Current research extends this
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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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experience in geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
experience in geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement
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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