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holistic research on distributed, real-time interactive and immersive systems, in particular on enabling a first-person presence in remote, augmented and virtual spaces. We work on overcoming the challenges
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). The research will provide a fundamental understanding of the physical processes that arise when droplets interact with soft fibres of complex geometry. A central focus is to develop a new understanding of
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and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles
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of adaptive, AI-driven interactive environments (serious games and biofeedback systems) that respond in real time to a user's physiological signals (such as muscle activity, movement, or cardiac
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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changes and to adapt to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment
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— particularly process-based and socioorganizational approaches — the project examines how neurodivergent cognitive profiles interact with organizational structures and practices to shape innovation processes
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the course of their fellowship period within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one
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interaction. The PhD student will work together with project participants, other PhD students and Master students, as well as local, national, and international collaborators Jon Terje Hellren Hansen, Ingun