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Field
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will contribute to this challenge by advancing the modelling of particle transport and fluid–soil interaction in dikes. A key scientific challenge is to represent the complex interaction between soil
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complex contexts through statistical models, machine learning (ML) methods, and artificial intelligence (AI). This includes working with performance, scalability, resilience regarding platform architectures
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physiological signal. This MSc by Research will investigate a fundamentally different question: “Can low-energy electrical measurements provide a reliable estimate of changing fluid volume within a cardiovascular
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socio-marine ecosystem models Marine and coastal socio-ecosystems such as Dublin Bay are highly complex systems subject to accelerated climate change. They are characterised by interacting biological
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of the financial details section. About the scholarship This PhD project will explore how patient flow is best modelled and evaluated within complex hospital systems. The project will apply advanced statistical
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the University of Groningen. The research will be carried out in the Systems, Control and Optimization Group. Our group is part of the Jan C. Willems Center for Systems and Control that unites the different
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‑dependent data is often unavailable and many traditional monitoring methods are too resource‑intensive or unsuited to the complex, delicate habitats used by juvenile fishes. This project aims to offer both
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central scientific challenge will be to learn integrated representations of forest ecosystems from datasets with very different characteristics, resolutions, coverage, and levels of supervision
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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of vision systems and AI techniques for perception, decision-making, and control, enabling robots to operate reliably in complex agricultural environments. The research will involve design, experimentation