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microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
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! This interdisciplinary project investigates how generative AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through
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, signal processing, calibration, error characterization, and constellation level data integration. Profile: The ideal candidate has • MSc degree in Geodesy, Remote Sensing, Civil Engineering, Physics
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Job Description We offer you a unique opportunity to join the PlastChain project with the aim to develop a process for chemically recycling end of life plastic waste by gasification to form syngas
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crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories
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bioelectrochemistry, a process utilizing electrochemistry to drive redox reactions catalyzed by enzymes. This technology has a large potential ranging from health (biosensors, biofuel cells) to “power-to-X
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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13C incubation approaches the current project will quantify dark carbon fixation rates in deep ocean settings and explore how environmental parameters affect the process rates. These approaches
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to contribute to the groups ongoing work on integrating environmental issues into macroeconomic models with the purpose of providing an assessment of the financial stability and physical risks given
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theory. The PhD fellow will join the Human Augmentation and Collaboration (HAC) group and the Physical and Embodied Interaction (PEI) group. The HAC group designs and evaluates interactive systems