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. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one position in the field of Business and ecosystems innovation available. Project description In
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, irregular, and highly dynamic computational tasks. Realising computing systems based on technologies like FeFETs require the design of architectures suitable for real-life problems. Moreover, appropriate
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require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
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combining insights from engineering, planning, innovation, and transition studies, we explore the dynamics between infrastructure management, policymaking, and end-user behaviour. The knowledge we generate
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questions emerge, each of which will inform one of the PhD subprojects: 1. Platform Governance: What governance mechanisms and design principles can enhance the legitimacy of DPP platforms? How can data
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ageing and can potentially be mitigated in animals. The candidate will be required to: Design, plan and conduct a programme of investigation, in consultation with the supervisors. Produce a PhD thesis
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Governance: What governance mechanisms and design principles can enhance the legitimacy of DPP platforms? How can data integrity, transparency, and stakeholder inclusion be ensured to build trust and
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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
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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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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