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Statistics (CRNs: 3050/3051) Course Description Principal methods, models, and hypothesis-testing procedures for the prediction and analysis of patterns, structure, and relationships in multivariate data (e.g
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Supervisor: Joann Whalen, PhD Department of Natural Resource Sciences Macdonald Campus; McGill University Position Summary: Use modern digital communication techniques to engage stakeholders interested in soil
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manuscript preparation and contribute to scientific publications and conference presentations. Supervise and train graduate and undergraduate students in data analysis and field methods. Required
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interns of the Baillet research group. Qualifications: Applicants should have a PhD in Computer Science, Electrical/Software Engineering, or a related field, preferably with a focus on neuroscience
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publications and presentations. • Conduct statistical analysis for ongoing BCU projects using appropriate software and methods. • Implement FDA and Health Canada regulations as needed. • Serve as a
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community. A demonstrated commitment to equity, diversity, and inclusion is also expected. Qualifications and Education Requirements Candidates must: Hold a PhD or a medical degree; Have formal research
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platforms such as myCourses, online grading tools, and basic programming or data analysis software is desirable. McGill graduate student, PhD preferred. Background in the subject matter of the course. Strong
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execution of Methods Think Tank sessions and working groups, including structured discussions on novel trial designs and implementation science approaches Qualifications: PhD in a health-related discipline
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: Department of Integrated Studies in Education (DISE) Course Details: Title and number: EDTL 636 Adv. Applied Methods in Second Language Education. Course Credits: 3 Term: Fall 2025 Course Description: EDTL 636
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, mesocyclones. Job Description: Prepare formal lectures and lead class discussions on the topics of: Buoyancy, stability, and vertical oscillations. Dry and moist adiabatic processes. Resulting dry and