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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 months ago
, preference will be given in hiring processes to candidates who self-identify as members of one or more of the equity-deserving groups listed above. For more information, including details related to our
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Posting Details Position Information Job Title Technical Coordinator of Theatre Operations - Full-time (Continuing) About the University It’s your time to shine! Work where the world comes to create
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addressing issues of learner mistreatment, breaches of professionalism standards and/or the respectful environment statement. Oversees data collection and analyses related to reports of concern for
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of the Client Services Manager, the AskMcGill Student Navigator plays a key role in enhancing the student experience by providing timely, accurate, and student-friendly information about campus resources and
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preparing routine samples for research projects and/or experiments Analyzing experimental data using statistical methods and software tools, providing clear and concise summaries to support research findings
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writing. Additional Information: Work Schedule is Monday to Friday 8am to 15h45 (subject to change) Hourly Salary: $37.12 Hours per Week: 38.75 (Full time) Location: Bishop Mountain Hall Supervisor: Trades
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& Knowledge Sharing Upholds principles of Indigenous data sovereignty, and patient-centered ethics in all engagement activities. Co-develops culturally relevant, accessible educational and knowledge translation
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, Research and Evaluation Develop insights from data and research to devise and propose meaningful changes for ongoing improvement of clinical teaching, learning and interprofessional practice and education
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Contact information for two academic or professional references Please email your application to Dr. Farrokh Janabi-Sharifi at fsharifi@torontomu.ca with the subject line: Postdoc Application – Force Sensor
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learning and optimal experimental design Generative and probabilistic modeling, including uncertainty estimation, risk-aware prediction, and data-efficient learning Continual, transfer, and meta-learning