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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context
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networks, with a primary focus on network size, composition, resources, and overlap. In addition, you will work closely with the SHINE postdoctoral researcher to collect qualitative data aimed
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the composition and functioning of microbial communities in environments ranging from the deep sea to large lake systems. Within this department a subgroup of organic geochemists is developing novel (analytical
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lead to shifts in microbial species composition and ultimately reducing soil’s water-holding capacity. The spatial distributions of such soil communities, the changes in (functional) diversity
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architectures, composites, and components with embedded electromechanical functionality. While these technologies offer major opportunities to enhance product performance during remanufacturing, they also
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in AM enable the production of highly complex components, including multi-material parts, smart architectures, composites, and components with embedded electromechanical functionality. While
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architectures, composites, and components with embedded electromechanical functionality. While these technologies offer major opportunities to enhance product performance during remanufacturing, they also
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deteriorating microbial (soil) communities that are also affected by these stress factors and this may lead to shifts in microbial species composition and ultimately reducing soil’s water-holding capacity
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composites. The successful candidate will be jointly supervised by the ETE (Elastomer Technology and Engineering) group, focusing on rubber science, and the SPC (Sustainable Polymer Chemistry) group
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systems. These contracts should have two desired features: i) be capable of expressing rich specifications; and ii) come equipped with a theory of compositional analysis that allows for translating