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- Delft University of Technology (TU Delft); today published
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Our current food system is at the heart of many pressing sustainability challenges. Industrial agriculture contributes significantly to climate change, biodiversity loss, and soil and water
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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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November 2025 Apply now Our current food system is at the heart of many pressing sustainability challenges. Industrial agriculture contributes significantly to climate change, biodiversity loss, and soil and
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demands the development of a highly loaded, lightweight turbo-compressor. The objective of this research project is to develop a surrogate model of the compressor to enable the simultaneous optimization
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analytics, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job requirements Your profile: PhD
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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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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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to create smart, sustainable, and equitable mobility systems. In our 12 collaborative labs we apply advanced technologies such as sensing, data analytics, modelling, and AI to turn scientific research
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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