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childhood kidney disease. We do this using bioinformatic techniques such as genome-wide association studies, genetic risk scores, and Mendelian randomization studies applied to large genetic databases and
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and protein assays, microscopy/imaging techniques, animal studies, mammalian cell culture Preferred (not required, but an asset) skills: bioinformatic data analysis, R programming language. Ability
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should hold a PhD in environmental genetics or a related field. The post-doctoral fellow should have background in eDNA techniques as well as proficiency in bioinformatics. Candidates who are comfortable
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), bioinformatics and analysis of scRNAseq data sets. **With your CV, please provide contact details of 2 potential references.** Additional information Status: Temporary Full-Time (35-hour workweek) Pay Scale
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://lab.loganathan.mcgill.ca) The project relates to role of HPV in head and neck cancer. The project will leverage CRISPR screening, in vivo models and high-throughput bioinformatics analysis of custom-made gene mutation