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-academic partners from three continents with the scope of advancing the knowledge and practices of attribution science, impact assessment and operationalized forecasting of climate and weather extreme events
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; Setting up and conducting a discrete choice experiment to identify how economic, psychological and political factors affect support for the green transition. The position comprises the following tasks
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field observations by including the local impact conditions on the blade with the cumulative damage analysis. Moreover, a predictive tool will be developed that allows site-specific analysis based
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Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions. Scientific Impact: Lead the authoring
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innovation with clinical relevance and real-world impact. Postdoctoral Researcher Explainable AI and Foundation Models for CT Imaging Our goal: To develop and validate novel AI methods that enhance
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economic, psychological and political factors affect support for the green transition. The position comprises the following tasks: Conduct innovative research on the labour market effects and political
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curiosity, eager to work with cutting-edge experimental techniques, and enthusiastic about making a tangible impact on the energy transition, we encourage you to apply. Job requirements PhD degree in
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the BEAT project. In parallel, qualitative research methods, especially from affective interaction design, are used to capture the emotional and experiential aspects of navigating urban spaces. These methods
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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actively contribute to knowledge exchange and impact activities. Collaborate closely with academic partners, industry stakeholders, policy organisations, and societal actors across the consortium. Publish