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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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other postdocs, two PhDs, a research advisor, a data management expertand a research assistant. The project will explore and test the hypothesis that deep narrative structures in the datasets used
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fasting) from wearables and other sources with multi-omics biomarkers. The project involves refining deep learning approaches, such as recurrent and convolutional neural networks, to improve personalized
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., sleep, activity, food intake, and fasting) from wearables and other sources with multi-omics biomarkers. The project involves refining deep learning approaches, such as recurrent and convolutional neural
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satellites, and marine reanalysis products using machine learning to quantify CO2 uptake in the North Atlantic and the Nordic Seas. Clarify magnitude and causes of interannual variation in this CO2 uptake