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Field
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preferred) Experience with processing and analysing remotely sensed data Experience with GIS and spatial data analytical techniques Experience with carrying out fieldwork in related fields (e.g. Geography
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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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, such as understanding natural hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be
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: geospatial analysis / GIS; remote sensing or street-level imagery; environmental exposure assessment; epidemiology or health data analysis•Good written and oral communication skills in English•Ability to work
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: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
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in the Pinail reserve and (ii) a forest fire, as well as control soil, and carry out the same measurements, -correlate the above values with data collected by geographic information systems (GIS) and
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and Analytical Skills Competence in data visualization to communicate complex results to scientific and policy audiences. Knowledge in geospatial analysis or GIS for linking environmental variables with
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well as interactions between social (socioeconomic and sociocultural systems) and natural environment, also via applying GIS. The graduate is capable to design mutually interconnected set of measures to support regional
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: Technical University of Denmark DC8: Comprehensive water scarcity method development PhD enrolment: University of Iceland DC9: Global, regional, and local information driven by high-resolution GIS data PhD