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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab is looking for a PhD student in embedded systems. Suitable applicants have built their own embedded systems before (custom PCB
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infrastructure network and its interconnectedness with other infrastructure networks, the environment in which it is embedded, and how this might change in the future, due to a changing climate, and the
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to improve their spatial resolution and improve predictions of flooding events. Project background The PhD position is embedded in the SNSF/DFG project HiGrav: High-resolution gravity fields for better flood
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methodology that develops physics-informed graph neural networks (GNNs) for composite space structure analysis. The methodology will aim to leverage the inherent structure of composite materials, embedding
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, release kinetics and navigability in simulated biological environments. The expected outcomes of the project will be to establish innovative techniques for embedding MOFs and COFs into magnetic micro
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for embedding MOFs and COFs into magnetic micro/nanorobots, demonstrate targeted drug delivery with improved efficiency and reduced systemic exposure, and conduct an extensive performance analysis
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multicultural environment This project is embedded within a large European consortium; therefore, excellent written and oral communication are essential Language: English Workplace Workplace We offer Your career