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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
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the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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science and industry. With the Open Research Knowledge Graph (ORKG ), we are working to revolutionise the exchange and use of scientific knowledge in the digital age. The Technische Informationsbibliothek
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procedures with qualitative research. It forms the methodological center of the SFB [in:just] and contributes to the development of theory and methodology through cross-project data analysis. Your tasks
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conferences. The work to be carried out ideally combines methods and theories from basic research with aspects of BAW's applied research. What do we expect from you? An excellent MSc degree in Physical