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Dept. Course Titles and Course Numbers: enter course title and course number here Estimated Number of Positions: BIOL 112 Cell and Molecular Biology BIOL 201 Cell Biology and Metabolism BIOL 202
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methods. Must be accessible to students outside of classroom hours. Available evenings and weekends. Course Description Details: https://ihpme.utoronto.ca/course/mhi1002h/ Salary: $9,820.70 - Sessional
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 21 days ago
relevant industry experience in business analytics, data analytics, operations, or decision support. Demonstrated knowledge of data analytics methods appropriate for an introductory business analytics course
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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mixed-methods research considered an asset. Experience in dealing with multiple commitments, short deadlines and sensitive clinical or research issues Intermediate or advanced computer skills in
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(social political, economic and environmental etc.). Students will learn about basic research methods and issues in the field. Current examples of major local and global health concerns will be used
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
to provide advanced technical leadership in bioanalytical method development, validation, quality assurance, and high-throughput sample analysis. They will serve as the laboratory’s subject matter expert
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-performance computing equipment. Learn more about why McGill is an exciting place to work: https://www.mcgill.ca/careers/why-mcgill Under the supervision of the Bioinformatics Manager, the Bioinformatics
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and maintaining regular contact with the student as specified in the collective agreement Responding to all student queries by phone, e-mail or other method as appropriate within the time frame outlined
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estimation of adverse Zika outcomes while addressing measurement biases. We aim at generating evidence to inform public policy, healthcare providers and pregnant individuals, improving prevention during