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is a catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a
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is a catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a
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Proficiency with REDCap Basic level of computer programming in any language, interest in learning more (e.g., MATLAB) Proficiency with computer programs, including Microsoft Office, Adobe Acrobat, etc
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conferences). Knowledge of existing AI ethics frameworks, fairness toolkits, and fundamental concepts behind value-sensitive design. Capable of assessing submitted machine learning models and code in Python
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multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High
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effectively, abides by policy, contributes to a positive and productive work and learning environment, and models these behaviours across the institution. Builds and leads diverse teams, champions inclusive
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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, brings rich diversity
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connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more
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productive work and learning environment. Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation, equity, diversity, and inclusion
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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