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Field
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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, Information Technology, or a related field. A minimum of 5 years’ experience in cloud infrastructure management, DevOps automation, and IT operations. Prior experience with geospatial data systems and performance tuning
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model-predicted wildfire risk. Integrate geospatial mapping tools (e.g., Leaflet, Mapbox, or ArcGIS APIs) for visualizing fire weather data and risk layers. Coordinate the integration of high-frequency
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major (undergraduate) in Geology, Geography and Geospatial Science, Oceanography, Climate Science, or Environmental Sciences. Working Conditions / Work Schedule Posting Detail Information Posting Number
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, urban networks (such as, electric grid and transportation networks), and urban disasters with a strong geospatial focus, statistical methods, graph theory, spatial computing, and semantic knowledge
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animal welfare and experimental integrity. Data Analysis, Writing, and Documentation (30%): Analyze large datasets using statistical and geospatial tools to interpret microplastic distribution and
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. Contributing to pilots that use natural language processing (NLP), geospatial methods, or automation to reduce manual workload. Presenting findings in clear, compelling formats for technical and non-technical
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infrastructure development, system planning, and design specification in low- and middle-income country (LMIC) contexts, working in fields of geospatial analysis, development economics, electrical and transport
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project requirements. Qualifications Minimum Education and Experience Ph.D in biological sciences, statistics, geospatial analytics, or related fields with at least three years of working experience, or a
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forest inventory and geospatial data to improve techniques and knowledge in one of three priority areas: forest inventory and analysis, timber production and forest dynamics, or wildfire risk management