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Ingenious Partner: Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar Strong proficiency in Python, Angular/React, and Java for application
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. Proficiency in applying advanced statistical analyses and developing predictive models for natural hazard-related data. Experience with data visualization tools and programming languages (e.g., R, Python, SQL
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computing resources, data visualization tools, and GIS mapping software for interdisciplinary collaboration. Students master industry-standard tools including Python, R, SQL, MATLAB, SAS, and Tableau through
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, AMOS, SAS (Statistical Analysis Software), Microsoft Excel (advanced modeling), Python, R Qualitative Analysis Tools: NVivo Geographic & Mapping Tools: ArcGIS, QGIS (Quantum GIS), Google Earth Pro
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predictive models for natural hazard-related data. Experience with data visualization tools and programming languages (e.g., R, Python, SQL). Experience with data management and data analytics in cloud-based
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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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proficiency in econometric, analytical software and/or GIS, including coding skills and familiarity with tools like Python. Strong, applied understanding of the macroeconomic and institutional drivers
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administration, geospatial analysis (GIS and/or remote sensing), and processing of field data. Additionally, this position will play an active role in Outreach & Engagement activities that span our campus research
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab