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Field
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, Python, or SAS. Familiarity with Git strongly preferred. Experience working with GIS and UNIX servers strongly preferred. Preferred Competencies Work independently in a fast-paced environment. Strong time
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floods and other hazards. Leveraging data-driven methodologies and innovative tools, such as CHARM and CommunityViz , our award-winning GIS-based scenario planning software, we facilitate collaborative
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candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non-quantitative aspects
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greenhouse gas emissions (CO₂ and CH₄ dynamics). Proficiency in data analysis and geostatistics using programming languages and tools such as Python, R, Fortran, or similar software. Experience managing
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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greenhouse gas emissions (CO₂ and CH₄ dynamics). Proficiency in data analysis and geostatistics using programming languages and tools such as Python, R, Fortran, or similar software. Experience managing
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non-quantitative aspects