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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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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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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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is part of the ERC-funded 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
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at the University of Oslo and in Tromsø at UiT The Arctic University of Norway. Machine learning is a core driver of artificial intelligence (AI) and an increasingly important force in a digital and data-driven world
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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for example in political trust, welfare state legitimacy, political participation, and voting behaviour? How do different gendered grievances interact across the life course? The project has a focus on Norway