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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- European Space Agency
- Radboud University
- Tilburg University
- Delft University of Technology (TU Delft); today published
- NIOZ Royal Netherlands Institute for Sea Research
- Tilburg University; Tilburg
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- Wageningen University and Research Center
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, Interns and Visiting Researchers, as applicable; develop and evaluate AI/ML models to identify, quantify and predict climate change impacts relevant to adaptation, resilience and mitigation on the topics
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than intuition-driven approaches; leverage and expand on the economic models of Romer (endogenous growth and innovation) and Nordhaus (climate economics and integration of environmental externalities
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regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies. Job description Despite significant progress in flood risk management
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Challenge: Managing flood risk in vulnerable interconnected regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. Your research will investigate the governance models adopted for energy hub platforms
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technologies still need to be tackled at the scientific, application and capability levels to deliver the maximum value from satellite-derived EO assets for our climate, society and economy. The Φ-lab will
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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at RIBES using machine learning and genomics to overcome linkage drag and accelerate crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining
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for understanding changes in the water cycle (incl. the modeling of hydrological extremes, adaption strategies etc.) and their related uncertainties, and to quantify their consequences for different groups in society
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applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term