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bioinformatics with at least one scripting language (R, python, bash) and expertise in high-throughput sequencing (ideally, including long-read sequencing) data analysis and statistical skills. Excellent written
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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affiliated with the UMR 3525 of the CNRS. The recruited candidate will spend 80% of the time on MDM team’s project and 20% with the Bioinformatics and Biostatistics HUB. The candidate will be managed by Jean
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of the Department of Computational Biology and also holds a secondary affiliation with the Development Department, as well as an affiliation with CNRS. The recruited candidate will be affiliated 80
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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python