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Vacancies PhD position on Interaction Design of Simulation Games and Geospatial Digital Twins Key takeaways The Challenge This research focuses on the design and use of environmental decision
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from the new FireSat constellation) and geospatial analysis. Topic 2 requires a combination of field and remote sensing approaches. For topic 3, experience with processing large geospatial datasets is
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, modelling, etc.), AI/ML, data architect and geospatial skills. Your tasks and responsibilities will include: driving and managing the definition and evolution of the Copernicus Sentinels and DestinE data
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conceptual knowledge and/or practical experience in topics such as agent-based modelling, bayesian statistics, causal inference, data visualisation and graphical interfaces, geospatial data analysis, high
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interdisciplinary research group dedicated to developing integrated approaches to geospatial systems analysis. Our team pushes the boundaries of how spatial data can be used to tackle today’s pressing environmental
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knowledge and/or practical experience in topics such as agent-based modelling, bayesian statistics, causal inference, data visualisation and graphical interfaces, geospatial data analysis, high-performance
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involve collaboration with external partners working on applied AI systems. Possible domains include geospatial analytics (for example in collaboration with a startup), as well as decision-support
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for geospatial information with a view to establishing longer-term adoption and acceptance and EO-based information in large-scale operations; Together with the key partners and end-user communities
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and user communities in the South Asia region to capture and consolidate their main operational requirements for geospatial information with a view to establishing longer-term adoption and acceptance
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science