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candidate in Resilience Assessment and Management for NaTech-Exposed Process Industries at TU Delft, you will contribute to tackling this challenge directly. You will be part of a research project that aims
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graphs for heterogeneous pavement engineering knowledge aiming to speed up the learning cycle and support innovation and asset management. Job description The increasing accessibility of data in
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periods) to congestion management and system services. Extracting all benefits from these assets, which becomes ever more important as more batteries enter the power system, requires state-of-the-art
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mechanics and enjoy discussing its intricacies. Driven by curiosity, you are creative, independent and eager to take the initiative. And you have the planning skills to deal with a complex PhD project. You
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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and eager to take the initiative. And you have the planning skills to deal with a very complex PhD project. You also have: An MSc degree in physics, or a closely related field. Knowledge of laser and
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often proprietary, fragmented, or nonexistent. Despite this, researchers managed to develop generative AI models capable of producing vessel hull designs. Yet, these models face limitations: they often
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therefore expected to grow significantly over the next decade, but this increase is not matched by a commensurate increase in the number of growers capable of effectively managing them. Achieving high
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storage of SAF, so that the associated risks can be managed. We are looking for a skilled PhD researcher to investigate these corrosion risks, together with the Dutch Defence Pipeline Organisation. Your
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environments and safe interaction with humans. These systems are increasingly applied in diverse domains: in agriculture, they can delicately handle crops and respond to changing conditions; in human-assistive