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, enzyme assays, and large-scale natural product screening. Qualifications: PhD required. Ph.D. (fully awarded) in one of the following disciplines: Biology, Biochemistry. Expertise in enzymology: protein
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is responsible for providing management in all areas of program development and administration for the Dementia Therapeutics Innovation Initiative (DTII), including: strategic plan development and
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species list. Assists PhD student with spatial analyses in R, including mapping species locations from existing databases. Assists PhD student with the interpretation of spatial patterns in the datasets
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This course is not Team taught. Teaching Qualification Requirements: Education 1. PhD (in exceptional cases, PhD candidates and master teachers with an MA with extensive relevant experience will be considered 2
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articles for submission to peer-reviewed journals. Additional tasks may be added. Qualifications: -- Possesses advanced specialized knowledge of the field or discipline acquired through a PhD Degree. Before
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available to McGill University registered graduate students. You must be a student registered at McGill University in an MA or PhD degree program in the Fall 2025 term. Hiring Unit: Department of Languages
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species list. Assists PhD student with spatial analyses in R, including mapping species locations from existing databases. Assists PhD student with the interpretation of spatial patterns in the datasets
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 12 days ago
publications EDUCATION/EXPERIENCE PhD degree in preferred areas including Biophysics, Cell Biology, Cancer Biology, Neuroscience Hands-on and theory experience with light microscopy Familiarity with imaging and
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teaching Engineering or Science students is an asset. TQRs for WCOM 245 – ESL: Essay and Critical Thinking : Education: •Graduate Degree (PhD preferred) in Applied Linguistics, Second Language Education, or
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tools and techniques are designed everyday to perform data analysis in quick and robust ways. This course covers the fundamentals of data science using the R language and environment for statistical