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within trusted digital environments. Their research focuses on ontology-driven conceptual modelling, FAIR data stewardship, and model-driven system/service engineering, dealing with data-driven services
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20 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil engineering
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modelling and dynamic material planning and production and scheduling into an actionable decision-support toolkit; Embedding explainable AI to ensure planners and engineers understand, trust, and use
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an approachable and highly experienced research team. You will explore cutting-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD
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-driven workload estimation, intelligent release planning, and explainable decision support. The PhD will operate across two worlds: The University of Twente — advancing scientific models, algorithms, and
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-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD candidate within this project, you will conduct research at the forefront
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PhD candidate to contribute to the next generation of real-time, AI-driven decision support for multimodal construction logistics. The successful candidate will join the Industrial Engineering and
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carried out by our project partners, and will be compared with in-vivo models. Embedding The PhD student will be embedded in the Microsystems research section at the Department of Mechanical Engineering
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environments. Your colleagues: A collaborative team of computational modelers, biologists, and engineers at MERLN, working at the interface of data-driven and mechanistic modelling. Regenerative medicine (RM
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded