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sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse team (i.e. microbiologists, data analyst, cell biologists, immunologist, engineers). You are a team
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sequencing, and mass spectrometry. With multidisciplinary research teams and a dynamic setting, the IBMC offers a stimulating environment conducive to scientific innovation. The IBMC is also affiliated with
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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, the PhD student will have at his/her disposition a set more than 150 high quality genomes (assembled from long-read sequencing and polished with short-reads), more than 100 of P. destructans and more
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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assays and RNA sequencing in iNeurons. Using advanced techniques such as automated live-cell imaging, electrophysiology and biomarker analyses, effective AONs will be selected. Ultimately, the goal is to
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, which is the community of microorganisms present in a given soil. Leveraging microbial sequencing data, agronomical and physico-chemical data, integrative data science provides opportunities to classify
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peptides Perform and support experimental studies across the METAMIC project, including notably metagenomic sequencing of field study samples (from clinical or environmental use cases) Application
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aims to provide an integrated assessment of urban vegetation from multiple perspectives, including its social functions and usage requirements, the ecosystem health of green spaces linked to plant
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from the chromosome-level reference genome alignments. Historical and population comparisons will also be undertaken. This PhD position will be associated with the Ecology and Animal Science, Production