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, as well as expertise in generating hypotheses on molecular mechanisms derived from omics data. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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release this information and make it available for scientists and conservation biologists around the world. The project aims to accelerate the identification and ecological analysis of museum specimens
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and Ribo-seq data. Have experience with downstream data analysis and data visualisation. Are fluent with R and/or python and know how to work in an HPC environment (e.g., slurm). Other programming
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