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of the following paradigms would be considered a plus: C++, C#, Qt, Python, REST, TensorFlow, Docker, user interface design. Previous experience in GIS systems would be a plus. Hardware
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semi-structured data sources. Proficiency in analytical and visualisation tools such as Python, R, SQL, GIS, Power BI, Tableau, or equivalent platforms. Experience designing interactive dashboards, data
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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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. 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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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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of related experience. Preferences Master’s degree in Environmental Science, Geography, Ecology, or related fields. Experience conducting field work, piloting drones, or processing drone data Advanced GIS
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experience in an academic or research library or in a data-focused role; Demonstrated experience with statistical analysis and data science tools and software (e.g., R, Python, SPSS, Stata, or similar
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, and sustainability transitions; Interest in material flow analysis, life cycle assessment, environmental modelling, and scenario analysis; Experience with programming and/or data analysis (e.g. Python
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measurements. Proficiency in programming languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Hydraulics of flood control and storm surge suppression
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presentations You have basic knowledge in data analysis using R, Python, MATLAB, or equivalent software You have basic knowledge in GIS and digital mapping You have the required communicative skills to interact