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ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a challenge. This project aims to explore data-driven Artificial Intelligence
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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the support of artificial intelligence, as well as novel ways to analyze media content for various purposes of interest to media businesses and consumers. Focus is particularly on news content, evaluating
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artificial intelligence research in the department's research groups and is funded by the Faculty of Social Sciences. The position is for three years. The position is open to an incoming candidate (researchers
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based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research group: The Centre for Elderly and Nursing Home Medicine (SEFAS), which has
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traditional assessment scales with sensor-based measurements, with novel analyses based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research
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, pharmacology/pharmacy, public health, epidemiology, statistics, biostatistics, machine learning/artificial intelligence, or social economics. Experience from relevant research projects will be considered
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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/artificial intelligence, or social economics. Experience from relevant research projects will be considered an advantage. The candidate must be able to work independently and in a structured manner, while also
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Project: The project is part of the research project AI STORIES: Narrative Archetypes for Artificial Intelligence and should result in a PhD in either Digital Culture, Comparative Literature or Nordic