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technology as NLR’s Virtual Community Noise Simulator (VCNS). The resulting model can therefore be used for both perception studies or evaluations to better understand how aircraft noise propagates within a
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that help determine when an AI model is ready for use and when more research is needed. PhD in Epidemiology on value-of-information from validating clinical prediction models and AI Our goal: Develop value
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you often find yourself fascinated by the multiscale complexity of real-world engineering problems? In this project you will develop advanced multiphase transport models for porous systems, bridging
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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—to macroscopic, population-level observables in rapidly evolving pathogens such as SARS-CoV-2 and influenza. Concretely, you will: formulate and analyze stochastic models of evolving populations using methods from
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Digital Twins: You will use numerical tools, including COMSOL and the open-source HemoCell simulation package, to model cell-scale thrombus formation. Experimental Validation: You will not just code; you
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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balance of individual plasma species. You will implement new modelling approaches in state-of-the-art plasma simulation platforms, such as nonPDPSIM and HPEM , in the context of plasma etching and EUV
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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
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conferences Publish results in international peer-reviewed journals Support and contribute to teaching activities within the department (max. 10%). Where to apply Website https://www.academictransfer.com/en