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analyses using advanced scientific tools though an easy to use interface. More information about CBRAIN can be found at https://cbrain.ca and https://github.com/aces/cbrain . Reporting to the Director
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of Toronto’s Statement on Equity, Diversity and Excellence . We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity
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Research Institute and UBC, investigates how cell division is regulated at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https
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regulated at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab ). Key areas include: Mechanisms of cell
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TO APPLY IS JULY 10, 2026 For details job descriptions and information regarding TQRs, please visit: https://www.mcgill.ca/scsd/about/job-postings HOW TO APPLY: Internal Applicants: Internal applicants
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demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from
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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
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cancers. A PhD in gynecologic cancer research and computational biology is preferred. In addition, the successful candidate will demonstrate a willingness to respect diverse perspectives, including
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
Banner and Brightspace Job Competencies Candidates are expected to demonstrate proficiency in Dalhousie’s core competencies (https://www.dal.ca/dept/leaders.html), in particular: Knowledge and Thinking
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training environment that is conducive to imagination, innovation, and a comprehensive research education. More information about CIMS can be accessed on our website: https://www.cims.carleton.ca