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to fine-grained visual understanding and anomaly detection under limited, weak, or imperfect supervision. The precise research direction will be defined together with the candidate and may evolve over
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multidisciplinary project is to develop design strategies to anticipate and prevent ‘rebound effects’ in the smart home by exploring the potential of aesthetics of uncertainty, instability and emergence
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change in crisis responses over the long term. You will combine historical source research with digital methods to analyse large-scale corpora of textual and/or visual sources. You will work with existing
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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research will identify creative competences—such as empathy, adaptability, visualization, idea generation—essential for citizen collectives and civil servants to collaborate effectively on innovations
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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integrate innovative methods and automation into fungal research, advancing how we visualize, quantify, and interpret the hidden dynamics of mycorrhizal fungi. This enhances not only our mechanistic insights
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. By then, drones are expected to become a regular presence—visually and audibly—in European living environments. A meaningful assessment of what impact this will have on our living environment is
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of information and cause–effect relationships in multi-stakeholder settings. Secondly, you will design and test novel interaction and visualization techniques for exploring, adapting, and inspecting simulated
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research. The cluster currently has 10 faculty members, whose research interests include computational geometry and topology, graph and FPT algorithms, algorithms for massive data, geo-visualization, and