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skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies, spatial
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Description Metabolic reprogramming is a hallmark of cancer cells. Understanding the downstream molecular consequences of these metabolic changes, among which their connections with RNA modifications
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behavior in the Phenoworld using a combination of conventional and data mining approaches as well as molecular biology techniques (RNAseq, RT-PCR, immunohistochemistry, etc) to investigate neurobiological
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molecular signatures and potential therapeutic targets We are looking for a highly motivated and enthusiastic candidate with interest in neurovirology. Ideal applicants hold: A PhD in cell and molecular
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, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active
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vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and investigate the underlying mechanisms Contribute
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, sediment, soil) environments and microbiomes (experimental and observational). High-resolution sampling of natural microbial populations (including fieldwork in remote Arctic regions). Molecular and
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). • High-resolution sampling of natural microbial populations (including fieldwork in remote Arctic regions). • Molecular and experimental microbiological and biogeochemical laboratory work. • Generation and
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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating