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cracking resistance as compared to GI galvanized steel. Furthermore, it is unclear at this moment how these types of coatings will perform in application to the green steel. Therefore, this project is aimed
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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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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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Soils. • Knows, or is interested in, working with GIS/spatial data analysis, network analysis or modelling socio-economic structures. We offer an appointment in accordance with the Collective Labour
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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and group activities. Collaboration with other PhD candidates, postdoctoral researchers and other faculty member will be encouraged. At the end of the PhD program the candidate will be an expert in
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. The department hosts a highly international tenured staff of over 50 scientists and more than 110 PhD students and postdoctoral researchers. We house or have access to a wide variety of world-class laboratories
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), the interdisciplinary hub on digitisation and society (iHub), and the AI department. This postdoctoral position is funded by a Vici grant awarded to PI Dingemanse and will be embedded in the ’AI: Language and
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, e.e.nauta@uu.nl . Esther Nauta, Assistant Professor and Postdoctoral Researcher at the Utrecht Centre for Accountability and Liability Law (UCALL): “UCALL offers a dynamic and innovative academic environment