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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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variety of Earth surface processes. This aim is pursued through a collaboration between the Department of Sustainability and Planning and Department of Electronic Systems. The topic of this PhD position is
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simulation-based methods to assess how changes in waste management processes can support compliance with certification standards, such as the Voluntary Sustainability Class The project is also grounded in
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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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motivated and curious candidate with a background in computer engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence
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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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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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properties, e.g. high processability while maintaining an open porous structure. However, their fundamental vibrational behavior remains poorly understood. This limits the possibilities to enhance
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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will involve both computational predictions and experimental validation. The project will combine density functional theory calculations with machine learning and molecular dynamics simulations