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statistical and computational component, with a particular emphasis on gene-environment interactions and multivariate approaches. The candidate will work with real data from large-scale multidimensional cohorts
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in Statistics, Bioinformatics, Computer Science or other relevant disciplines with a strong quantitative background. Previous experience working with large scale data are welcome. Contact: Interested
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to constitute a hospital-university institute (IHU) from 2025. This Institut reConnect will tackle the topic of big data in audio-vestibular patients and the work performed by the engineer will form a solid basis
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data that mimics key characteristics observed in experimental recordings. This approach will involve an inference phase to identify large-scale parameters characteristic of larva populations. Crucially
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a