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questions into empirical analyses that yield clear, interpretable insights. Communicate research findings clearly, both in writing and in presentations, to academic and non-academic audiences. Engage with
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stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those
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our external partners, and act as an ambassador towards the mass spectrometry community on our behalf. Join an expert team performing cutting-edge research, ranging from technological development and
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for when and how AI agents should intervene, how they represent and communicate data, and how they adapt to evolving group dynamics over time. A specific interest is group decision-making and sensemaking
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the local electricity system, while acquiring academic perspectives? Information This position is dual fold and has both a teaching and a research related aspect. Power networks are critical
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value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions
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development of simplified continuum-based models, enabling fast assessments across large quay wall networks. This position is part of the Bridge and Quay Walls (Bruggen en Kademuren) programme of
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-personalised services - as Large Language Models become widely accessible, they're reshaping how we live, work, play and connect. This rapid shift sparks big questions: Whose norms and values shape this AI
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; Demonstrated interest or experience in sustainability transitions, circular economy, waste management, or environmental governance; Good networking and communication skills and ability to work independently and
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-informed ML Experience working with Linux and HPC environments is an advantage. Strong communication skills and excellent proficiency in English. You enjoy working in an international, interdisciplinary team