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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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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
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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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sessions, utilizing cues like facial expressions, posture, and movements. These signals are crucial for understanding the therapy process but can be difficult to measure. The lab develops AI technology that
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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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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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disassembly, reuse, and remanufacturing already at the early design stage. In this role, you will develop power converter integration concepts that support design for disassembly. Multi-physics simulation tools
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the person listed at the bottom of the job posting. Interviews are expected to be held in April 2026. Further information Read more about our recruitment process here. The assessment of candidates
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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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are successively being replaced by renewable energy sources (such as wind turbine generators), which are interfaced via power electronics converters. This transformation drastically reduces the physical inertia