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environment Bonus but not required Experience in single-cell and spatial omics data analysis Experience with highly multiplexed flow cytometry Background in immunology The opportunity to work on high-impact
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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. The candidate will conduct research in archives. Based on an analysis of source material, the strategies developed to reconcile the interests of multiple bondholders will be examined. Specific attention will be
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still facing critical challenges that prevent its practical implementation. In particular, the lack of proficient membranes in terms of alkaline stability and low ion selectivity (to hydroxyl ion) has
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, with exciting collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical
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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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with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning
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work on crypto-asset transaction analysis - at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money Laundering and Countering the Financing
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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