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on these cultures against chemicals and environmental samples; Prepares libraries for sequencing using the ultraplex method; Analyzes resulting data using bioinformatic methods to yield transcriptomic points
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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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of the most relevant software and bioinformatics practices in genomics by reading the scientific literature and attending scientific presentations. Manage several development projects simultaneously Participate
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bioinformatic pipelines, analyze the data and interpret the results using statistical techniques. They will be developing and implementing data analyses, and acquiring data from primary or secondary data sources
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-funded SD4Health, the Pan-Canadian Genome Library and the Digital Research Alliance of Canada to respond to D2R computing needs; propose core platforms that can provide access to bioinformatics
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using bioinformatic approaches. The following task will be conducted by the research assistant: - Conducting research projects using established protocols, processes and procedures and with minimal
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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