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will build on research that detects different types of uncertainty in deep neural networks, and we will connect this uncertainty to interactive data collection, e.g. in the form of a dialogue with the
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. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
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background in virus-cell interactions, molecular virology/cell-biology We want you to have: An experimental background, including in vitro cell experiments using organoids Meritorious for the position
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will focus on developing theoretical and algorithmic foundations for goal-oriented, semantics-aware communication enabling timely and reliable cloud-to-agent interactions. For more details on semantic
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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We are looking for a PhD student in Visual Learning and Communication with a focus on interactive visualization, visual learning, science communication, and educational science, formally based
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Environmental Change carries out research and education on the interaction between environmental and society in an analytically innovative way. The Division offer PhD, Master and Bachelor studies specialising in
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wood-derived polymers Macromolecular design and developing new materials concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass
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concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
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structured and persistent; you can plan, organize, and prioritize your work to drive your processes toward both short- and long-term goals. As an academic community we value original ideas and the intellectual