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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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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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biology, this research aims both to optimize inhibitors specifically for inhalation therapy and to investigate their mechanisms of action within infection models. You will organise your own PhD research and
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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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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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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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faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. You can demonstrate an interest and abilities in theoretical modelling in economics and
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sequencing and transcriptomics, and iPSC-based disease modeling to better understand the genetic etiologies of intractable epilepsy. The team is part of the European STXBP1 consortium . About the project
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approaches in patient samples and an already established zebrafish model for a genetic neurovascular disorder will be used to further unravel the disease processes and to identify potential therapeutic targets
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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