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innovative programme within the Chemical Science & Engineering curriculum at the University of Twente. It aims to equip students with the skills and mindset needed to tackle complex global challenges such as
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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students with the skills and mindset needed to tackle complex global challenges such as climate change, pollution, and greenwashing. By embedding systems thinking into the curriculum, CLEAR enables students
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to cracking, corrosion, and a lack of structural redundancy. In the Netherlands, the safety of these structures depends on the integrity of the lower nibs. These are typically slab structures that are known as
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, both verbally and in writing; you work in a structured manner, take the initiative and are motivated to master new methods and topics. We consider it an advantage if you have: experience engaging and/or
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types that reflect related biological mechanisms, such as proteomics, metabolomics, and transcriptomics. Latent variable models are widely used for identifying the underlying structure in such high
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model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality. Your role is to build flexible 3-D ray
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transitions, housing is central to structuring inequalities. Its role, however, varies drastically, from an equalizing force to chief driver of inequality. This is dependent on the housing system
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we’re growing along with it. At the Universiteit Maastricht (UM), your work makes a difference—whether you explore complex biological systems, contribute to cutting-edge research, or help shape
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political contexts shape museum–community relations. Using a comparative research design across multiple countries, the project focuses on museum governance, partnerships, funding structures, and audience