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, demand uncertainty, and storage limitations. Quantify uncertainty: Apply advanced techniques to assess and mitigate market-driven performance and investment risks. Develop real-time control schemes: Design
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, funded by NWO, EMBRACER brings together a wide range of world-leading climate experts with the aim to address existing uncertainties about climate feedbacks at the boundaries between oceans, land, ice, and
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PhD position within the EMBRACER project, focusing on the role of climate feedbacks, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving
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, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving the understanding and modelling of these processes to support robust and adaptive climate policy
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evaluate feature engineering and data representation strategies for heterogeneous datasets obtained from material synthesis, characterization, and functional testing. Apply uncertainty-aware modeling, active
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uncertainties about climate feedbacks at the boundaries between oceans, land, ice, and atmosphere. Our interdisciplinary approach and state-of-the-art infrastructure will bring us forward in our understanding
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scientific computing or programming (e.g., Python). Knowledge of uncertainty quantification or inverse problems is welcome but not required. You have good verbal and written communication skills. You are
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process as a whole. In addition, the anticipated sharp surge in demand for electricity and renewable fuels introduces new uncertainties. Would you like to address this urgent need and develop new methods
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suboptimal, or may even be counterproductive, for the port call process as a whole. In addition, the anticipated sharp surge in demand for electricity and renewable fuels introduces new uncertainties. Would
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arrangements perform in practice; how they allocate responsibilities and risks; and how they handle uncertainty, interdependencies, and the growing complexity of public tasks. The project focuses on core