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? No Offer Description Help develop explainable AI to support human-AI interactions. As a Postdoctoral Researcher at TU Delft, you will investigate how multimodal AI can understand, explain and
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at the intersection of conversational AI, human–computer interaction, multimodal interaction, user modelling, and cultural heritage. As a postdoctoral researcher, you will: Conduct research on dialogic interaction
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-dependent interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model
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interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model trained
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about developing cutting-edge AI techniques to enhance interaction
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/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing on the HASRL framework and the
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intersection of: Human-computer interaction and human-centred AI Adaptive and multimodal interface design Driver state monitoring and contextual interaction Human factors and cognitive/perceptual ergonomics
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Saarland University. The Human Media Interaction group does research into multimodal interaction: from brain-computer interfaces to social robots and from sensor technologies to interactive sports and play
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collaboration with the pedagogical team and the PhD candidate. Familiarity with multimodal data (audio, video, interaction logs) and time-series analysis of social interaction. Experience with or interest in