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Field
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, Google tools, system integration programs (APIs, imports/exports between CMMS, ERP, GIS, HR systems,) basic scripting or automations (Python, Power Automate, etc) and data visualization tools (Power BI
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to script and program work flows in C++ and python and understanding and use of remote sensing and GIS programs is essential. Demonstrated experience utilizing a cloud computing environment such as AWS
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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) Scientific programming (Python, MATLAB, R or similar) LanguagesENGLISHLevelGood LanguagesSPANISHLevelExcellent Research FieldEnvironmental science » Water science Additional Information Benefits Participation
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impact assessment, or a closely related field. Required Knowledge, Skills, and Abilities Strong analytical and quantitative skills, including statistical programming (e.g., R, Python, or similar
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and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models
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degree in a quantitative or computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data
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with software such as R, Python, MATLAB, or SAS. 3. Climate and Environmental Science Knowledge Understanding of climate change variables (temperature, air pollution, extreme weather) and their health
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, AMOS, SAS (Statistical Analysis Software), Microsoft Excel (advanced modeling), Python, R Qualitative Analysis Tools: NVivo Geographic & Mapping Tools: ArcGIS, QGIS (Quantum GIS), Google Earth Pro
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computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data pipelines is essential. Skills in