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Your position Soil is a critical storage pool for carbon in Earth's surface. How carbon cycling will change in soils as a result of anthropogenic climate forcing remains unclear, in part because
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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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. Empa is a research institution of the ETH Domain. Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure mechanisms in wooden structures. This will require
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100%, Zurich, fixed-term Greenhouse gas (GHG) emissions from material extraction, manufacturing of construction products, as well as construction and renovation of buildings are estimated at 5-12
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rheological, thermal, mechanical and fire performance analysis of these CANs. Molecular structural characterization of the CANs with Solid-State NMR, X-ray analytics, Raman, AFM, etc., and relating the features
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab is looking for a PhD student in Human-Computer Interaction. The project will focus on input detection from sensor signals (e.g
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modification techniques to enhance our understanding of aerosol-cloud interactions, ice crystal growth, cloud-radiation interactions, precipitation initiation, and cloud seeding. Building upon the Cloudlab
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key contributions to novel personalized strategies of particles design for drug delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues
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developing and implementing novel MRI techniques to access lung function and structure in newborns and toddlers with chronic respiratory diseases.
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offer unprecedented flexibility and productivity to modern manufacturing systems. Additive manufacturing processes involve complex physical and chemical interactions that need to be executed with high