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organoids. Expertise with animal models and/or by LC-MSMS analysis would be a plus. Viala J, C Chaput, IG Boneca, A Cardona, SE Girardin, AP Moran, R Athman, S Mémet, M Huerre, AJ Coyle, PS DiStefano, PJ
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-adaptation of pathogenic Leptospira. Qualification: An expertise in cell biology, molecular biology, transcriptomic and genomic analysis, imaging and/or infectious models will be appreciated. Starting Date
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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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the laboratory: –Lefebvre A. et al. Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation. Biol
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pathologies) and flow cytometry Desirable : Previous experience in transcriptomic analysis (scRNAseq), scripting languages (R) and Seurat. Would be a plus : Previous experience in epigenetic analysis
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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immunology and bioinformatic analysis (e.g., scRNA-seq) (highly desirable). Skills in in vivo models are an advantage. Ability to work independently and collaboratively within a diverse, international team
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Islands. NPJ Genomics Medicine. 2019 Jan 21;4:1. de Chaumont F. et al. Live Mouse Tracker : real-time behavior analysis of groups of mice. Nature Biomedical Engineering 2019 3(11):930-942. Huguet G. et al