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of the Criminal Code of Canada as it pertains to sexual violence, and applicable NAIT strategies, policies and procedures. Event Planning Skills Strategic thinking, critical thinking Skilled in computer use for
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accordance with the university’s equity plan and pursuant to Section 42 of the BC Human Rights code, preference will be given to members of the following designated group: Indigenous Peoples. Candidates from
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months 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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that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual
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with organoid/organ-on-chip technologies Familiarity with drug screeningprotocols Understanding of requirements/process in presenting research findings Familiarity with coding languages such as R
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with Disabilities Act (AODA), the Ontario Human Rights Code, and our Access and Accommodation Policy, we will accommodate the needs of applicants. Please email faculty.office@sickkids.ca with your
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student body. Experience working within a post-secondary context is strongly preferred. A thorough understanding of the Ontario Occupational Health and Safety Act, Ontario Human Rights Code, AODA and
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provide expert commentary on issues of gender diversity Requirements In accordance with the University's equity plan and pursuant to Section 42 of the BC Human Rights code, the selection will be limited
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drawings. -A good working knowledge of the BC Building Code, IH&S Regulations, WCB Regulations, CPM scheduling, general construction management practices, and customer relations techniques. -Computer related
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predictive markers. The position includes exclusive access to a proprietary multi-center MS clinical-trial MRI dataset (10k+ patients; longitudinal multi-sequence MRI with manual lesion labels, treatment codes