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and monitoring of environmental parameters; participation in processing and analysis of collected data, including the use of programming languages (Python and/or C++), GIS methods, and machine learning
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Demonstrated experience in climate-impact or environmental modelling, hydrological analysis, or remote sensing/GIS. Proficiency in Python and/or R for climate or hydrological data processing. Familiarity with
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urban design with microclimate simulations and measurements, GIS and Digital Twin technologies, and machine learning. The work will be part of a Horizon pilot project aimed at realizing a scenario-based
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
Community website. This role combines advanced technical specialization, expert technical writing, and GIS data strategy to directly support the community's global initiatives, ensuring the platform's
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Postdoctoral Research Associate in Health Economics Department of Finance Gies College of Business Postdoctoral Research Associate Health Care Research Initiative Seeking a full-time postdoctoral
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are seeking a GIS Technician with a good eye for detail. The ideal candidate will demonstrate proficiency in ArcGIS Pro and Online, with a preference for some experience running Python scripts. Experience with
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Posting Details Posting Detail Information Working Title Environmental GIS Analyst, TSC - Fort Collins, CO Position Location Fort Collins, CO Work Location Position qualifies for hybrid/in-office
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, development, and deployment of a suite of GIS-based tools that support transportation agencies and municipalities in producing interoperable data aligned with the Transportation Data Exchange Infrastructure
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completed project drawings, and providing information to various University stakeholders. This role will also provide support by preparing reports on data associated with Geographic Information Systems (GIS
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-solving abilities. Strong written and oral communication skills in both English and French. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics