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workshops and participatory research activities and an appetite for experimental design and mixed-methods evaluation. It would be helpful if you have Proven skills in programming languages (preferably Python
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Proven skills in programming languages (preferably Python) Knowledge of and experience with urban water management and nature-based solutions Experience with planning support and planning support systems
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data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R, C++, or MATLAB is considered a strong asset. Experience with fieldwork or working with soil
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and stakeholder-engaged research, excellent written and spoken communication skills in English (Level C1) Preferred Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python
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Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python, R, GIS platforms), experience with integration of human subject data (e.g., questionnaires, interviews, eye-tracking
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experience with knowledge graph standards (e.g., RDF, OWL, SHACL); familiarity with GIS, geodata infrastructures and geo-analytical workflows some experience with AI and machine learning methods to label texts
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in