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sustaining a diverse 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
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and damage to neurons, and the major cause of permanent disability in multiple sclerosis (MS) and other neurological diseases. Using the latest in computer modeling, molecular and imaging technology, we
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Nature Careers | Victoria Central British Columbia Provincial Government, British Columbia | Canada | 24 days ago
, nanosciences, and/or energy, including energy storage devices. The successful applicant will be offered a tenure-track appointment with an expected start date of July 1, 2026 or as negotiated. A PhD degree in
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End Date At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students
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an early-career researcher with demonstrated strengths in artificial intelligence and bioinformatics. More specifically, expertise in using machine learning and AI tools to leverage multi-omics (genomics
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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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, Machine Learning). Preferred 12 years of experience, 10 years relevant experience leading and developing career and professional-level employees or the equivalent combination of education and experience
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 13 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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adjunct and seconded professors. The graduate program comprises over 200 students pursuing Masters (MA, MEd) and doctoral (PhD) programs. LLED Faculty teach over 200 course sections in the winter and over
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning