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strategies. Job description As part of the EU-funded Innovative Training Network (ITN) 'WATER', you will perform leading research on new ways to characterize water transport through membrane channels
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extrapolating loads along the substructure, for any type of turbine, given specific geometric, inflow and sea-state information. Furthermore, such a machine learning surrogate can speed-up both design and
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live in. Your role A PhD position is available at the Chair for 'Urban Water Management' (Prof. Dr. Joachim Hansen), Department of Engineering. The successful candidate will be hired in the frame
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focuses on building scalable, accreditation-ready analysis workflows to detect and classify microplastics in complex sample types such as drinking water, plant-based beverages, and biological fluids. As a
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of ambient species like oxygen and water is of course to take into account, other factors are still out of control. Growing evidence shows that the properties of organic materials and, consequently
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electrolyzer design. The aim is to establish the critical reactor operating parameters (water supply, pulsing, etc.) to avoid salt deposition to a maximum and as such increase the durability of a typical zero
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in January 2025. The overarching goal is to identify the key factors controlling microbe-mediated carbon storage in the ocean, with a focus on using model microbial systems in the lab. We specialize in
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in January 2025. The overarching goal is to identify the key factors controlling microbe-mediated carbon storage in the ocean, with a focus on using model microbial systems in the lab. We specialize in
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of CAPTURE (www.capture-resources.be ). CMET has over 40 years of experience in the study of applied microbial processes and microbial ecology in the contexts of waste(water) treatment, bioremediation
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-resistant forms. By identifying the biochemical factors that govern carbon storage in the ocean, we hope to better assess the impact of human activities on this reservoir and provide transferable results