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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your
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settings will be considered an advantage. The ideal candidate is motivated to work in interdisciplinary research environments and is interested in collaborating with researchers across different fields as
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with partners from different professional and cultural backgrounds, and combines independent work with engagement in group activities. We are looking for someone who is scientifically ambitious
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of climate change modelling and Carbon, Capture, Utilization and Storage. The position will be involved in a number of projects, involved in different aspects of linking climate change with energy system