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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level A Job Title Bioinformatics Scientist Department Aparicio Laboratory | Department of Pathology and
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, the profession, and society at large. The successful candidate will play a leading role in teaching Bioengineering undergraduate and graduate courses. Please refer to https://www.mcgill.ca/bioengineering/studies
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Methods in Linguistics - Fall 2026 Course description: An introduction to experimental design and statistical analysis for linguists. Topics include both univariate and multivariate approaches to data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Minimum Qualifications Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously
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Leaders program, nominees must have been working and residing outside Canada when the Eddie Goldenberg Research Chairs of Canada award (https://www.canada.ca/en/impact-pluschairs.html) is formally accepted
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of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . A Research Assistant/Technician position for developing molecular tools and techniques in high-throughput enzyme characterization is available in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
data analysis. Application Instructions: PLEASE APPLY ONLINE: https://www.utsc.utoronto.ca/webapps/cupehiring/dept/ls/app/sl Salary: In accordance with the current CUPE 3902 Unit 3 Collective Agreement
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culture, fluorescence confocal microscopy, transmission electron microscopy, digital image analysis and statistics. The capacity to thrive in a highly collaborative research laboratory environment is
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backgrounds. A full list of courses can be found at https://artsci.calendar.utoronto.ca/section/Statistical-Sciences . Applicants must have a demonstrated record of excellence in teaching statistics