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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in
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; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in the field of coupled social-environmental
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skills in English (spoken and written). Preferred qualifications: Familiarity with tools/programs such as GIS, Illustrator, R or other spatial analytical or visualisation platforms. Basic knowledge
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 3 months ago
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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representations) on the regional scale and preferably experience with GIS to support such analyses; A keen interest in the development of methods and/or theory for research through design and innovative, long-term
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considered an asset. Demonstrable methodological and analytical skills and the capacity to develop and conduct innovative research. Preferably experience with digital tools, such as Transkribus or GIS
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. Preferably experience with digital tools, such as Transkribus or GIS, or the ability and willingness to develop these skills. - Demonstrable experience with archival research, including basic palaeographical
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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