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). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
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intersectoral research; Excellent command of the English language; Ability to conduct theoretically relevant research with an eye for application in policy and in practice; Ability to work independently and
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partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across the two teams. The position offers a strong publication trajectory at leading HCI venues
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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, polyvocal conversational agent. The agent will use real-time visitor feedback, including eye gaze, speech, and dialogue content, to infer interactional states such as engagement, curiosity, openness
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scientific publications. Strong written and oral communication skills and enthusiasm for interdisciplinary collaboration. TU Delft (Delft University of Technology) Working at TU Delft means contributing
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provide meaningful explanations of their predictions to downstream users. A central aim of this project is to investigate how Vision-Language Models (VLMs), Multimodal Large Language Models (MLLMs), and
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key stakeholders in agriculture. The ability to coordinate and maintain networks of diverse stakeholders. The ability to work independently. Fluency in Dutch and English, additional languages are a
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in teaching, outreach, or international research networks is considered an advantage. Excellent command of English, both written and spoken (minimum C1 level, CEFR). Proficiency in Dutch is considered