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social innovations (e.g., community workshops) to engage marginalized households in retrofitting actions. 2. Policy recommendations for retrofit programs specifically designed to empower marginalized
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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personal reasons. Digital transformation and increasingly GenAI tooling are reshaping the labour market. To assure future prosperity, including social well-being, innovation and financial and economic
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use—well above the international average. Much of this impact stems from single-use items designed for hygiene but generating enormous waste. While technological and policy changes are essential
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challenge, responsible for 7% of national CO2 emissions, 4% of waste, and 13% of raw material use—well above the international average. Much of this impact stems from single-use items designed for hygiene but
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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into recycle, reuse, or manual-review streams. Iterative hardware-in-the-loop trials will drive rapid prototyping of gripper architectures and autonomy frameworks, thereby establishing a scalable blueprint for
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of nanomedicines to deliver nucleic acids). Robust methods for nanomedicine characterization and interaction with cells are essential to be able to test new formulations and improve their design and efficacy
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and technology institute that has the capability to analyze, explore and design new technologies that are based on the integration of fundamental and engineering sciences. A PhD position is available in