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to enrich for the EBPR community under different substrate conditions in dynamic environments, apply cutting-edge omics techniques, including metagenomics, metaproteomics and metabolomics. As a PhD in the
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, unlocking opportunities, forms of incubation, and deployment of knowledge and ground-breaking developments. We also stimulate a healthy and inclusive work environment in which you can bring out the best in
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knowledge into machine learning models to uncover mechanisms controlling plant resilience. The ultimate goal is to connect these findings with simulation models to predict how plants respond to environmental
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mean that new technologies are urgently needed to limit micro-plastics release in the aquatic environment. A large contribution to micro-plastics pollution comes from microfibers released from clothes in
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including configurable models for network layout, propagation environment, communication and sensing application/traffic characteristics, suitable JCAS waveforms, beamforming and RRM algorithms, verify its
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of the ASM department to make aviation and spaceflight more sustainable by developing novel structures and materials that have a smaller environmental footprint by using less energy and enabling easier
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economic growth and prosperity. The infrastructure of ports, including breakwaters, access channels, turning circles, harbor basins, terminals, quay walls, equipment, and physical environmental aspects like
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between theory, simulations, and experiments towards understanding and controlling fluid flows. In our team, we strive for a co-creative and stimulating environment where we can develop our skills as a
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towards understanding and controlling fluid flows. We strive for a co-creative and stimulating environment where you can develop further skills as a scientist, team member and teacher. We place great
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networks, ranging from man-made infrastructures to biological, brain and social networks. Fostering an inspiring, friendly and supportive environment, we meet regularly and share ideas and knowledge. You