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computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative computational techniques and theoretical insights that extend
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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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, 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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alarm signal or take other actions locally. We aim to implement methods for quality control and enhancement of data quality through approaches developed in other PhD projects within SFI Smart Ocean. These
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to describe a condition or make a decision to send an alarm signal or take other actions locally. We aim to implement methods for quality control and enhancement of data quality through approaches developed in
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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