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Field
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Science Minimum Requirements Background managing and analyzing large datasets, developing geospatial models and tools, familiarity with ESRI products or similar GIS software(s), proficient in programming in
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stations, including communications setup (satellite, radio, or cellular). Proficiency in data analysis using Python or R and familiarity with geospatial tools such as GIS and remote sensing datasets (LiDAR
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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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(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