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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
Position Details Position Information Position Title Donald Hill Family Postdoctoral Fellow - Artificial Intelligence in Health & Medicine Posting Number PTAP3278P Department/Unit Computer
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clearly demonstrated record of excellence in research and teaching. Candidates must outline a program of rigorous and innovative research at the highest international level backed by a track record
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time of appointment, with a demonstrated record of excellence in research and teaching. Candidates must outline a program of rigorous and innovative research at the highest international level backed by
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both independently and collaboratively in a highly confidential team environment; knowledge and understanding of medical terminology; proficient spelling and grammar skills; proven computer skills
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concerns or an elevated risk of harm to themselves or others. This role contributes to the shared objectives of the department and the university psychology program, including training expectations
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(or related discipline) and at least 2 years experience teaching at both the undergraduate and graduate level in the fields of social determinants of health, health program evaluation, human motor behaviour
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detail-oriented skills. Ability to work effectively both independently and collaboratively in a team. High attention to detail and accuracy. Proficient computer skills, including Microsoft Office
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incentive program design to motivate and develop employee performance. Key topics include performance assessment; employee motivation, discipline, and performance conciliation; and design and implementation
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at the Fields Institute from July 1 - December 31, 2026. More information on the program will be posted here as it becomes available: https://www.fields.utoronto.ca/activities/26-27/quantum-algorithms
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an outstanding, competitive, and externally funded research program. In addition, the successful candidate will be assigned a teaching and service load in the tri-campus graduate unit of the Department of French