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Field
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: Develop continuum-based two-phase models to predict internal erosion and pipe progression in clay-sand layered dikes. Derive constitutive modelling approaches from high-fidelity DNS-DEM data generated
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PhD position to research novel fast controlled photonic integrated switches for low latency and highly scalable AI compute clusters. The electro-optical communications (ECO) group in the Faculty
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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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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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monitoring capability that combines ground-based GNSS sensing, satellite observations, modelling and advanced data integration to support improved agricultural water management. Develop and evaluate GNSS-IR
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– Robustness of dehydration detection: Examine the consistency of saliva-based dehydration detection across different dehydration models and participant cohorts, including sport and occupational settings
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control over modelling, animation, visual effects and compositing. Building these systems requires considerable expertise and can be repetitive, as each task may involve constructing or adapting large
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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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at the interface of biophysical modeling, soft matter and cell mechanobiology at the Groningen Research Institute of Pharmacy, within the Faculty of Science and Engineering at the University of Groningen. What
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization