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immunological assays with human samples (e.g., flow cytometry) and omics technologies (proteomics, transcriptomics, epigenetics) is required. Expertise in bioinformatics, statistical analysis, or programming
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and analysis. Advanced Analytics: Implement analysis modules for methylation calling, structural variant detection, fragmentation-based signatures and multi-omics integration. Machine Learning
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the Role of Economic Imagination for Advancing Decarbonization in Europe ” As part of a cross-national study, you will conduct a qualitative analysis of Spanish media discourse on the issues of climate
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a cross-national study, you will conduct a qualitative analysis of Spanish media discourse on the issues of climate change and decarbonization. You will join an international, dynamic research team
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semantic analysis) to detect and categorise accusations of political disinformation in large corpora of parliamentary debates across 20 democracies. You will build a relational dataset that systematically
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for hydroclimate extremes. Position You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods. Your responsibilities will include
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the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods. Your responsibilities will include developing deep learning-based methods for modeling extreme
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academia and practice regarding the cost-effectiveness analysis of safety instrumented systems. You will conduct cost-effectiveness analyses by designing cost models to highlight trade-offs in
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Teaching basic and advanced courses in statistics, methodology or data analysis Preparing new teaching material for the aforementioned topics, including the use of online teaching and blended learning Co
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tools tools (e.g. learner corpora, Sketchengine, quantitative data packages, etc.). You have foundational knowledge of statistical tools and methods for the analysis of learner language and are