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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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and conduct field and greenhouse experiments for testing causality in plant-microclimate relationships, especially from a functional ecology perspective. The focus is on tundra plants under climate
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the position The main aim of the postdoctoral project is to design and conduct field and greenhouse experiments for testing causality in plant-microclimate relationships, especially from a functional
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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developed will be based on pseudonymization, anonymization, and synthetic data generation. Using real health data as a source of information, we aim to create test datasets and statistical models