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Join the M-WAVE team to develop a forward operator for land data assimilation. Job description Challenge: Understanding the climatic drivers of crop failure, monitoring crop growth and implementing
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conduct research on: Repurposing end-of-first-life electric bus and IMC batteries as second-life stationary and mobile energy storage systems with focus on battery degradation and cell-to-cell variations
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single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative
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for strain improvement. The project will combine cell biology, genome editing and quantitative physiological studies in laboratory bioreactors. The position offers a unique opportunity to work at the interface
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epithelium, immune cells and synthetic microbial communities (SynComs) that reflect infant gut physiology; coordinate and maintain the collaboration between mechanical engineers, microbiologists and
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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-quality cryo-ET data. The candidate will apply these workflows to challenging questions in the structural cell biology of the assembly of a unique machinery involed in bacterial motility and cell-autonomous
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground
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chemical compound measurements, while the open position will focus on cell measurements. You will land in a project team comprising postdoctoral researchers, PhD candidates, and technicians that have a diverse range