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. The project aims to quantify these effects using rich administrative microdata and advanced econometric methods. By combining quantitative analysis with a comparative and interdisciplinary approach, the project
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organoids, and RPE). Responsibilities: Establishment and colony management, including operational aspects related to the production and analysis of the ALMS mouse lines selected by the consortium. Close
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of oxide thin films or ferroelectric materials. Proficiency in electrical transport measurements and data analysis. Experience in nanofabrication and cleanroom processes is highly desirable. Website
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targets. Main activities: - Bioinformatic analysis of WES and RNA-seq data. - Variant calling, annotation, and mutational signature analysis. - Differential gene expression and pathway analyses
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Infrastructure? No Offer Description - work environment: This position is part of a nationally funded research project focused on the early detection of neurodegenerative diseases through the analysis of protein
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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analytical activities. Activity 1, Conducting experimental research and data analysis in the field of astrochemistry: Setting up and monitoring experimental protocols; Analyzing and interpreting scientific
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. The study of the walls will refine our understanding of human use of the site. The wall analysis envisaged in this postdoctoral research aims to integrate rock paintings into a morphogenic history. The chrono
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scientific rigor, initiative and a strong ability to present and analyze results in writing and orally. The researcher (M/F) must demonstrate a critical mind, autonomy in work, and the ability to work in a
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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