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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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and graduate students in disciplines relevant to chemical risk assessment (e.g., toxicology, chemistry, endocrinology, AI/machine learning) and governmental staff presently involved in chemical risk
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, 2025, at the Rank of Assistant Professor. Mount Royal’s Faculty of Science and Technology offers Bachelor’s Degrees in Biology, Chemistry, Computer Science, Computer Information Systems, Data Science
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generated from high-throughput phenotypic experiments to identify yeast strains with commercially desirable traits. Developing bioinformatic and machine learning pipelines to identify key genetic signatures
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asynchronous) by conducting research in order to determine what materials, resources and innovations should be added, revised, or adapted to meet new learning models and identifying existing evidence-based and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 14 hours ago
to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming
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) a cover letter, and (2) a CV or resume. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Lund
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness