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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Research and Facilitation, Level B Job Title Bioinformatics Specialist Department Yachie Laboratory | School of Biomedical
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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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statistical genomics and bioinformatics. The Department of Human Anatomy and Cell Science has a strong track record of teaching microscopic and macroscopic human anatomy, neuroanatomy, and embryology
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 days ago
into account. Qualifications Requirements: PhD degree in engineering, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met
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faculty member to collaborate with an established MS research group to develop expertise in MS clinical trials, real-world evidence, epidemiology, data mining, and/or other related bioinformatics research
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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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, Biochemistry or a closely related field). Comprehensive understanding of Cancer Biology, expertise in bioinformatic techniques, computational workflows, NGS based mutational screens and multi-omics data analysis
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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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or an equivalent combination of education and experience. - MSc or PhD in computer science, bioinformatics, environmental/ecological data science or other relevant degree - A minimum four years of related experience
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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