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Field
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intervention programs Contributing to the design of a GIS-based decision-support platform that integrates asset data, intervention plans, and uncertainty analytics Validating the developed methods against
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(e.g. R, Python, GIS, Modflow, GitHub) Experience with experimental design and complex data analysis Demonstrating ability to work independently Experience conducting research across multiple disciplines
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of basic research data using common scientific software (e.g., Python, spreadsheets, GIS) and application of various methods to run established workflows. Assist with routine laboratory and field activities
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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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cooperation amongst EU countries. This will be achieved through the development of na operational remote sensing (RS)/GIS-based platform that serves as a preparedness Decision Support System (DSS) for wildfires
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. • Demonstrated experience with GIS Systems. • Knowledge and experience with Transportation Management Systems. • Experience writing and executing unit tests Required Knowledge, Skills, and/or Abilities • Must
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will demonstrate: A Masters or PhD in engineering, environmental science, or a closely related discipline Strong analytical and numerical capability, including experience with modelling, GIS and coding
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development environments: Python, Java, C# Frameworks: ColdBox Dev-ops: GitLab, Jira Agentic coding: GitHub Copilot Testing automation: Playwright Research Software We Use: GIS: ArcGIS Pro, ArcGIS Online
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. Prior experience conducting applied or basic research in urban settings is also preferred. Experience with R, Python, and/or GIS software (e.g., ArcGIS or QGIS) is highly desirable. Equipment Utilized
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Postdoctoral Scholar: Air Pollution and Aging Health, Environmental and Occupational Health Sciences
skills including experience with machine learning and regression analyses Proficiency in statistical programming software (R or Python) Spatial statistics and GIS skills Experience managing and analyzing