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Field
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of autonomous mobile robots in dynamic human environments. The central objective is to enable robots to anticipate, interpret, and respond to human movement and interactions, thereby improving both safety and
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with experience in zebrafish work, advanced microscopy (in vivo imaging, confocal microscopy), host–pathogen interactions, innate immunity, vaccination, gene expression analysis, or cell-based assays
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction
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-of-the-art sensing equipment. The collaboration will also include joint supervision, regular project meetings, co-authored scientific publications and interaction with a complementary PhD project at Imperial
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of employment is at the Section of Biostatistics, Department of Public Health, CSS, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research
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Chemistry, Faculty of SCIENCE, University of Copenhagen. We are located at the Frederiksberg Campus, Copenhagen. We offer creative and stimulating working conditions in dynamic and international research
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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combine academic excellence with relevance for practice — including through innovative formats of dissemination and co-creation with industry. Proposals must address the project’s prospective interactions