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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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—or whether altered conditions persist, with lasting consequences for flood risk. Key questions include: 1. How do large tropical riverbeds respond to sand mining disturbances? 2. Do these disturbances
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of bird genomes, working on some of the best-studied avian models (Mauritius parakeet, ringneck parakeet, red-crowned parakeet, and orange-bellied parrot). The PhD candidate will study data from
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in vitro tissue models ideally need to account for the complexity of ECM composition, extracellular and intracellular forces, and reproduce specific microenvironmental conditions. This doctoral project
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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. For applications in the Arctic this means adapting the technology to the weather, and in particular precipitating snow. There has been very little research on optical transmission through falling snow and the models
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Combine theory, modeling, and experiments to uncover how
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(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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models. The project’s key objectives are to: 1) Identify critical indicators relating to ecosystem health and resilience; 2) Incorporate indicators into DBN models to simulate how ecosystems respond