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-physical energy systems. About the project AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and
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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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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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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
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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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to demonstrate the following competencies and qualifications A master's degree in chemistry, chemical engineering, materials science, physics, nanoscience, or a closely related field is required for the PhD
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within the research section. Your competencies A master’s degree is a requirement, preferably in chemistry, chemical engineering, physics, or materials science. Previous experience in glass chemistry
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environment with new knowledge on moisture transfer and storage process in biobased porous materials? These materials are essential for the green transition but vulnerable to moisture loads. To address