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Economics, Computational Science, Geography, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods
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, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods; Experience with (statistical) data analysis
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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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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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, NodeJS. Experience on one or more 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