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Challenge: Develop a climate model that enables climate optimized flight trajectories to be achieved at robust manner. Change: Improve the current climate model with broadening their geographical
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Fascinated by clouds? Motivated by tackling complexity in the climate system? Enthusiastic about physics? – Consider joining the MesoClou team! We invite you to apply for a PhD position on utilizing
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quantitative risk models that capture how climate shocks can cause impacts to household welfare. Existing models often only look at welfare impacts through reductions in income, and are spatially aggregated
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growth and climate change, offering potential solutions to mitigate future challenges (~4D stress maps/climate resilience mapping) If you are passionate about geoscience, hydrogeology, predictive modelling
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detailed volumetric representation of small pieces of composite tapes arranged in a mold before they are fused into a single, solid piece. Such a model facilitates real-time adaptation and precise control
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detailed volumetric representation of small pieces of composite tapes arranged in a mold before they are fused into a single, solid piece. Such a model facilitates real-time adaptation and precise control
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Challenge: Developing models geared to decision-making under deep uncertainty. Change: Leveraging different scopes in system dynamics modelling. Impact: Enabling decision-making geared to long-term
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Challenge: Developing system dynamics models enabling robust police interventions. Change: Leveraging basic structures to accelerate model development. Impact: Driving long-term police effectiveness
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optimal inspection and maintenance strategies can be devised using geo-data, engineering models, and AI. The case study will be the city of Amsterdam, however, the methods to be developed will be generic
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This PhD position deals with development of innovative modeling and monitoring methods for ship structures made of fiber-reinforced composites under extreme loads. Fiber-reinforced composite (FRC