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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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of the project is to develop new conceptualizations of what AI means to people, grounded in everyday life, and to assess democratic implications of emergent media technologies. The postdoc will design and conduct
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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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, in the overall NFR project algorithms for cell type deconvolution on spatial transcriptomics data get developed. These algorithms as well as the ones for error predictions shall get implemented in
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on spatial transcriptomics data get developed. These algorithms as well as the ones for error predictions shall get implemented in the existing Deconomix software package and GUI application. This shall make
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hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggeratedin the output of generative AI, and that this could lead to culturally
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to train generative AI models are replicated and perhaps exaggeratedin the output of generative AI, and that this could lead to culturally specific narrative biases. Your role in the project will be
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associated with the Center for Digital Narrative (CDN) , a Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural
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Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and
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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