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Engineering is looking for a full time (100%)doctoral scholarship holder in the field of electro-organic synthesis at metal-oxide nanoparticle catalysts. Electro-organic synthesis will become crucial for a
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chemical processes. At its core, PRIME LEAP tackles one of the greatest challenges in modern chemistry: the sustainable and efficient conversion of methane. As both a major component of natural gas and a by
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is led by Professor Lisa Suckert. Based on a comparative mixed-method analysis of five European countries REIMAGINE explores how economic imagination fuels conflicts, frictions and impasses
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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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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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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
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additives and self-immolative polymers. In addition to synthesis, the analysis and purification of reaction mixtures are crucial steps in obtaining and fully characterizing the purified product(s). To achieve