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develop methods to steer developments of large AI systems in such a way that they are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase
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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 focus on three key areas
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designs of AI systems should be assessed during the design phase. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in
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the employability of a new generation of young researchers, regulators, consultants and project leaders by providing them with a unique expertise in the design, production and quality assessment of innovative plant
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, focusing on distillation column designs for e-methanol production with considerations for process flexibility, turndown ratio, and dynamics. The rigorous process simulation will explore heat integration
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researching mission-specific innovation systems and governance strategies. Your job The world is facing critical challenges, including climate change, biodiversity loss, excessive pollution, and resource
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are welcome to apply. A keen interest in language evolution, language change, language learning, human evolution, and communication. Experience in conducting empirical research (e.g., experimental design
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sciences’ and to ‘ethics’, following the ‘mental models approach to risk communication’. Conduct qualitative in-depth interviews, workshops and design sessions with experts, clinicians, patients and lay
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successful and rewarding career in both the public and private sectors. As a PhD student, you will: Design and conduct empirical studies using real-world data to support health technology assessment (HTA) and
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approach is employed to develop knowledge, insights, tooling, principles, designs, infrastructures and action-perspectives for a climate-proof, drought-resilient, and water-sensitive built environment