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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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addresses the following central research question: how can we design human-AI collaboration to mitigate biases and foster equitable decision-making? To answer this question, the research will explore areas
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employed in classical networks, necessitating novel verification approaches. The goal is to design an automated reasoning approach in tandem with ongoing formalisation efforts, with a focus on probabilistic
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approaches. The goal is to design an automated reasoning approach in tandem with ongoing formalisation efforts, with a focus on probabilistic behaviours. The objective of the temporary position is the
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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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actions. 2. Policy recommendations for retrofit programs specifically designed to empower marginalized communities, ensuring equitable access to subsidies and resources. 3. A database of neighborhood
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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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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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(ZIAM) is the design and scientific study of materials for functionality. The strength of our institute lies in focused, curiosity-driven, symbiotic studies of functional materials involving researchers
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biology, conservation and medicine, of how social stress causes ageing and can potentially be mitigated in animals. The candidate will be required to: - Design, plan and conduct a programme of investigation