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pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An
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Switzerland, the project aims to better understand urban densification as a contested process of land rent creation and redistribution, thereby exposing tensions among actors, values, discourses, and
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simulations that integrate physical and social drivers. Finally, you will evaluate financial and institutional support mechanisms and develop policy pathways to strengthen resilience to salinization. Your
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land-use and socio-economic simulation models to inform land use planning and policy still inadequately capture many of the benefits of nature restoration, especially those that emerge through spatial
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)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and Switzerland, the project aims to better understand urban densification as a contested process of land rent
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the magnetization will propagate without scattering and loss of energy. Such structures could potentially be a novel building block for future computer chips and more sustainable IT technologies. Your research will
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physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case studies. Your job In this project, you will develop a quantitative theory of evolution
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mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room
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these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions