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programming and data analysis tools (e.g., SQL, Python, R, GIS platforms); experience with the management and analysis of human subject data (e.g., from questionnaires, interviews, behavioural experiments, eye
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research papers; present research-in-progress at e.g. workshops/conferences; contribute to spatial analysis and GIS-related courses of the department; follow a 30EC training programme to prepare for your
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) Preferred 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
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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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for GIS, cartographic maps, geodata infrastructures and geo-analytical workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g
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modelling, and some experience with linked data standards and knowledge graph tools (e.g., RDF, OWL, SHACL); familiarity with or interest for GIS, cartographic maps, geodata infrastructures and geo-analytical
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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