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unreliable predictions and indicate where additional data would be most valuable; studying how such foundation models generalize across related but distinct physical settings, such as changes in boundary
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of model systems to test theoretical predictions. The project lies at the interface of quantum mechanics, mathematical physics, and electronic-structure theory, and will involve close interaction with
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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
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spatial scales into a crop modelling framework and predicting daily targets for photosynthesis and transpiration rates (all developed by other researchers in the project consortium). Based on these targets
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imperfect reflection of the influences of related variables. Structural causal models provide a flexible mathematical framework for efficient prediction, model selection and management in such settings
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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of dynamical systems, control of complex and uncertain systems, motion control for high-tech systems, model predictive, networked, supervisory, neuromorphic, and learning-based control, cyber-physical systems
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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, these flows remain poorly understood. As a result, even the most basic properties cannot be predicted reliably. For instance, the best available models over- or underestimate the measured pressure drop in a
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prostate cancer management. Research Objectives Predictive diagnosis: Should this patient undergo a prostate biopsy, and what is the likelihood that an identified lesion represents aggressive cancer