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failures. Hence, the design process must characterize the likelihood and severity of faults, identify the set of possible hazards and failure conditions, mitigate possible consequences, and assess
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conditions. Here, thermodynamic consistency refers to a modelling framework in which the coupling between processes of different physical nature is derived from fundamental physical principles, ensuring
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of dust in the Earth system. The central research focus of the future post holder will be the further development of the dust module in the global aerosol-atmosphere model ICON-HAM, as
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class of equipment that remains comparatively underexplored from a modelling perspective, while helping identify operating conditions that improve safety, robustness, and performance. 2. AI-enabled
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they struggle to process speech affected by medical conditions such as dysarthria, aphasia, or dysphonia. This research will develop multimodal models that can recognize unusual acoustic patterns and
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flow conditions. Here, thermodynamic consistency refers to a modelling framework in which the coupling between processes of different physical nature is derived from fundamental physical principles
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Computing (HPC) and the Lattice-Boltzmann Method (LBM), a mesoscopic computational method, to model flows over a variety of engineered surfaces. You will investigate how engineered surfaces can delay flow
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to taxonomic and ecological groupings. The development and exploration of models that integrate biological understanding with atmospheric dispersion models to predict spatio-temporal spread of wind-dispersed
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tools developed in the last decade, and compare the networks and task dynamics for the different conditions [11]. We will moreover consider various agent-based models, developed in statistical physics
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passionate about statistical methodology and motivated by biomedical applications? Join our team on development of latent variable models for multi‑omics and longitudinal data and help advance data‑driven