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that students have acquired over the course of the MPP program and to bring them to bear on the development of a coherent policy agenda for the current Canadian context. The course is modelled after the Institute
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and independent research, and to maintain an outstanding, competitive, and externally funded research program. Candidates must provide evidence of research excellence which can be demonstrated by a
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for Addiction & Mental Health 1025 Queen Street West, Toronto, ON, M6J 1H4 Daniel.Blumberger@camh.ca For more information about the Centre for Addiction and Mental Health, please visit https://www.camh.ca
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visit https://www.camh.ca/ . To learn more about the University of Toronto Department of Psychiatry, please visit https://psychiatry.utoronto.ca/ CAUTION:This ad is “posted only” to the U of T affiliated
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 12 days ago
integration of different pathways. An emphasis will be placed on real-world applications of biochemistry to metabolism. Please ensure you apply at this link as applications are not seen on SuccessFactors: https
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concerning brain activities and computations. Conducting a literature review and reporting experimental research, use of elementary statistics, and satisfaction of research ethics requirements. Estimated
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the experience of older patients, and as the home of Sunnybrook’s specialized geriatric services program, delivering evidence-based interdisciplinary care that is integrated across Sunnybrook. Services include a
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demonstrated scholarship for the job description of Clinician Scientist, please see Table 2 at https://deptmedicine.utoronto.ca/clinical-faculty-academic-appointments#Clinicalfacultyapptcategories
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
, explore the global AI supply chain (including chips, data, and compute infrastructure), and use contemporary AI tools to support their own policy research and analysis. The course covers major policy and
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SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine