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complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics to medicine: our education and
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assess the structural condition therefore enable both lighter designs and more efficient maintenance strategies. To address this challenge, the project aims to develop structural health monitoring
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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Can you help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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Apply now Why do some people develop gambling-related harm while others, despite similar experiences and circumstances, do not? In this ZonMw-funded PhD project, you will use longitudinal panel data and
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with synthetic content. This project investigates how synthetic content reshapes how adolescents develop knowledge. We propose a novel framework that links synthetic content to adolescents’ increased
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. What we offer you We will give you a temporary employment contract of 9 months. Your salary within salary scale 7 depends on your previous education and number of years of (relevant) work experience
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At the Faculty of Engineering Technology (ET), we work on engineering for impact: developing smart, sustainable, human-centred and technological solutions for societal challenges. We connect fundamental education
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will