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. The focus is on automatic emotion detection in text, with special attention to crosslingual differences in emotion verbalization and to how multilingual models deal with such differences. You will publish
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. Elite discourse will be studied using advanced quantitative text analysis techniques, including natural language processing (NLP) and large language models (LLMs). To examine citizens' responses
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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include 1) a murine (diet-induced obesity) model, 2) acute and chronic exercise paradigms, 3) treatment with peripherally restricted enzyme-based eCB modulators, 4) multi-tissue molecular analyses and 5
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-causing mutations. Finally, we will validate the identified key (epi)genetic molecular and eplore their therapeutic potential in in vitro and in vivo disease models. Profile The candidate should: have an