557 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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tissues. Carries out reverse transcription quantitative PCR (RT-qPCR), including sample preparation, assay setup, and data analysis. Prepares and analyzes polytene chromosome squashes. Maintains detailed
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genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health record data across UK Biobank, All of Us, CLSA, and
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Hiring Unit: Department of Bioengineering, Faculty of Engineering BIEN 203- Introduction to Statistics and Data Science Position Summary: The grader is responsible for grading assessments, posting grades
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of computers, presentation equipment, video, and audio equipment General knowledge of common computer software Familiar with asset management software is an asset Reliable, punctual and professional with good
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imaging datasets, generating single-EV proteomic expression profiles, and enabling downstream data analysis through intuitive graphical user interfaces. Leads the design, development, construction, and
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: Help building data set to analyze private equity/debt deals using Preqin data. Qualifications: Before applying, please note that to work at McGill University, you must be both authorized to work in
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following supporting documents are required: Cover letter and curriculum vitae; Names and contact information of three referees. Use a personal email address when creating an account in Workday to submit your
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and contact information of three referees Use a personal email address when creating an account in Workday to submit your application. Do not use @mail.mcgill.ca or @mcgill.ca email accounts to apply
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knowledge exchange. Students will be trained and involved with data collection and knowledge mobilization, including co-authorship. Existing experience with community-based and participatory data collection
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, particularly in the field of data analytics related to operations management or operations research topics (e.g., revenue management, supply chain management, sustainable operations, big data, etc.), as