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heavily dependent on concrete, which is characterized by a very high CO2 footprint, mostly related to the usage of Portland cement. The project aims to tackle the sustainability of concrete and building
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, modernization, and demolition of existing structures. The construction industry is heavily dependent on concrete, which is characterized by a very high CO2 footprint, mostly related to the usage of Portland
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from 3D-optimized end-walls provided by additive manufacturing (AM). The project outcome will solve the urgent need for CO2 reduction from air traffic. Research environment You will join the Fluid
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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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. This will be achieved by combining advanced constitutive models that capture the rate-dependent (creep and porewater pressure) response of sensitive clays with erosion models enabling system-level studies
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responsibility is to conduct high-quality research on hybrid artificial intelligence. You will: Combine deep learning to capture long-term patterns and uncertainties with stochastic model predictive control