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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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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
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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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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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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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.). You have foundational knowledge of statistical tools and methods for the analysis of learner language and are enthusiastic about learning more advanced quantitative methods. You are a (near-)English
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, life domains and levels of analysis within established institutional frameworks. The University of Antwerp has recognised the FAMFLEX consortium as one of its Centres of Excellence 2026-2031. FAMFLEX
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may include 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
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and testing of different classes of polymer additives and self-immolative polymers. In addition to synthesis, the analysis and purification of reaction mixtures are crucial steps in obtaining and fully