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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train
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intelligence (AI), and analyses changes in trust and understandings, at a time when AI becomes integrated into everyday media experiences. The goal of the project is to develop new conceptualizations of what AI
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management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggerated in
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structural bioinformatics and molecular modeling tools, as well as building on and further developing the datasets and codes from the PePrMInt project (Cf https://doi.org/10.1371/journal.pcbi.1010346
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well as building on and further developing the datasets and codes from the PePrMInt project (Cf https://doi.org/10.1371/journal.pcbi.1010346 ). Qualifications and personal qualities: Applicants must hold a master's
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to develop practical management tools. SEAClim will provide detailed predictions and projections of decadal-to-multidecadal changes in marine environments focusing on the North Atlantic. TipESM will explore
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
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modeling of narrative, which includes developing new computational models of narrative and re-implementing historical models (also known as “storytelling systems”) so that they can be easily studied and used
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is part of the Norwegian Research Council funded Center for Sustainable Subsurface Resources (CSSR). About the project/work tasks: The successful candidate will contribute to the development and