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. Research insights into the barriers for marginalized communities to take retrofit actions, effective ways to empower marginalized communities, evaluating the potential of visual/technological tools to raise
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., mobile apps, dashboards) for data visualization. Contribute to documentation, experiment logs, and progress reports. Participate in weekly lab meetings; present findings and progress. Collaborate with team
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interaction, psychology and sociology. Core research topics are communication & technology, verbal and non-verbal communication, health communication, climate communication, information visualization, language
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PhD at TU Delft developing co-design methodologies for accessible AI/XR technologies. Job description TACIT Project Around 25% of the Dutch population lives with long-term visual, hearing
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behavior, thereby affecting nearly every facet of our life, including healthcare, education, mobility, AI, robotics and culture. The positions: PhD candidate / project 10 focuses on understanding the effects
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relation to local environmental cues such as light intensity, wind conditions, and visual structure. A key focus will be on how Dipteran insects perceive and use these cues—especially visual landmarks and
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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attributes inspired by the concept of Other Effective Conservation Measures (e.g., food, cultural and ceremonial values, role as a buffer against climate change). These attributes, linked to the values
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text analysis, natural language processing, or image analysis methods. Ability to manage and analyze large datasets (literary corpora, visual archives, cultural databases). Strong interest in
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer