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of the innovation process. At the moment, there is a need for a better understanding how to approach responsible scaling. In the project you will learn about how innovations can improve local day-to-day practice in
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computationally represent and learn evolving team norms in HI systems? How can we design AI agent architectures that integrate team norms into their decision-making processes to ensure that both AI and human
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causality is a concept closer to human intuition. In this project, you will study uncertainty and causality in probabilistic graphical models with the goal of designing causality-aware explanations
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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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, like creating parks, have shown benefits, yet large-scale implementation is often hindered by spatial constraints. What if we could harness the untapped potential of streetscapes to (re)design impactful
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and not in others? A comparative design is again a promising option to this part of the research project. Your qualities You have a Master's degree in history or a related discipline such as economics
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differentiable programming applications (e.g., experimental design, machine learning for science). It will do so by bringing together a diverse team of PhD candidates with a primary focus in three different areas
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differentiable programming applications (e.g., experimental design, machine learning for science). It will do so by bringing together a diverse team of PhD candidates with a primary focus in three different areas
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differentiable programming applications (e.g., experimental design, machine learning for science). It will do so by bringing together a diverse team of PhD candidates with a primary focus in three different areas
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programming applications (e.g., experimental design, machine learning for science). It will do so by bringing together a diverse team of PhD candidates with a primary focus in three different areas: programming