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of Norway (2025-2028) and led by Professor Brita Ytre-Arne. The position is full-time for 3 years. About the project/work tasks: The IMAGINE project explores how people in Norway perceive artificial
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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, Literary and Aesthetic Studies invites applications for a postdoctoral position on Literature and Generative AI, commencing November 2025 or as agreed upon. The position is for a fixed-term period of 4 years
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to continents and apply methods where fieldwork, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of Excellence (CoE), the former CoE
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areas is considered an advantage: Experience with computational literary analysis. Experience with setting up, fine-tuning, and using large language models. Experience in applying literary theory and
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, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis. The fellowship period is 3 years. Starting date as soon as possible and upon individual
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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to continents and apply methods where fieldwork, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of Excellence (CoE), the former CoE
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See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in
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related to Planning Theory, starting on 1 September 2025. The PhD position period is 3 years. The planning community has extensively discussed the importance of promoting compact development, efficient land