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GIS Spatial Analysis with Python & R Position Details Position Description UW Continuum College expands the reach of the University of Washington by delivering educational programs that meet the needs
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with the aims of the funded project. Job Duties Use R and Geographic Information System (GIS) software to generate geospatial predictor datasets for air pollution models. Use high-performance computing
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; interest in transportation, sustainability, simulation, or data analytics; basic experience with Python, GIS or quantitative analysis is preferred but not required. Additional Information: Physical Demands
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asset management systems (e.g., Octave EAM) or other enterprise business systems. Experience with Python and/or Arcade for GIS automation, analysis, or business logic. Background in software support or
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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approaches used in GIS (e.g., Arcade, Python, R, SQL, JavaScript) Ability to design aligned course components, including learning objectives, assignments, and assessments that clearly support student learning
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. Demonstrated experience with Esri map series tools, model builder, coding or scripting in Python, in support of GIS or modeling workflows. 5. Experience deploying model outputs through web-based or interactive
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Advertised Job Summary This position designs and maintains web GIS applications, manages authoritative spatial datasets, supports ArcGIS Enterprise and ArcGIS Online workflows, and develops Python-based
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and