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numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports
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-level research on care, ethics, planning, and the green transition. - Familiarity with qualitative and/or participatory research methods; experience with mixed-methods approaches (e.g. citizen science
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, distrust in epistemic authorities, and declining intellectual engagement (epistemic anomie). This project uses several quantitative and qualitative methods like (panel) survey, lab experiments focus groups
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, segmentation, and metric-semantic mapping - Develop and evaluate machine learning-based image segmentation methods for robust perception in extreme environments; - Contribute to metric-semantic mapping
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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decision-making methods that enable robust decisions for heat transition planning despite these data-sharing constraints. Rather than assuming full access to data, your research will investigate how planning
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compiling a methods guide. The data gathering requires local travel, while other tasks are completed on site at Lund University. Qualifications The assessment will primarily be based on your research merits
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methods to model the flow-on impacts of different hospital initiatives from ED presentation through to hospital discharge, and subsequent impacts on patient and health system outcomes. By modelling patient
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democratic legitimacy? Together, the projects will develop comparative evidence, practical methods and guidance for adaptive regulation. A shared observatory will bring together signals, research methods and
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methods like (panel) survey, lab experiments focus groups, and data donation. Each PhD Candidate will write a paper-based dissertation and strive to publish the results of the individual sub-studies in