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indoor zones with each other and with the outdoors. This system dynamically adjusts airflow based on room conditions, user preferences, and environmental factors—offering a flexible and energy-efficient
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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partially filled containers – is a major challenge in aerospace, transport, and energy systems, where it can compromise stability and safety. The PhD will focus on developing low-order models of sloshing
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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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of rural communities toward resilient, inclusive and climate-smart business models. The focus of this PhD will be on modelling and assessing the sustainability and macroeconomic implications
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of rural communities toward resilient, inclusive and climate-smart business models. The focus of this PhD will be on modelling and assessing the sustainability and macroeconomic implications
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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Description Your Responsibilities Participation in one or more research fields of the institute: Material modelling of e.g. fresh concrete, soil, biological tissue (aorta, skeletal muscles) Numerical
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
with gene expression and cell surface remodelling. Systems Biology of Bacterial Defence – Integrating Multi-Omics to Model Microbial Survival: Outside of optimal laboratory conditions, bacterial cells