657 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Toronto
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ability to work as part of a team. Flexible availability is a requirement for these positions. Ability to perform duties online as required. Preferred Qualifications: include a PhD in an appropriate
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
. This education and outreach program is designed to assist UTM students and campus community members to have greater awareness of the information, tools, and resources that support people in making
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that informatics plays in clinical healthcare. Course Details: Class schedule: Weekly Estimated enrolment: 60 Estimated TA support: based on enrolment - None Qualifications: A PhD or Masters level education
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to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis
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project management coordination experience Strong proficiency with personal computers and related software, including advanced proficiency in MS Word and Excel Ability to write concise and informative
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environment. Qualifications Required: Education: University degree required, post graduate degree (master’s or PhD) an asset, or equivalent in education and experience. Experience: Minimum four (4) years
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course (INF2138H – AI in Library Science: Social, Political, Practical Impacts) explores the transformative role of Artificial Intelligence (AI) in the field of library and information science, with a
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results, preparing draft statistical reports and summaries and distributing findings Preparing, assembling and setting-up material, equipment and supplies according to the needs of the facility, and
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] and curriculum vitae must be submitted to: Cindi Morshead, PhD Professor and Chair, Division of Anatomy Medical Sciences Building 1 King’s College Circle – Room 2372 Toronto, Ontario M5S 1A8 E-mail
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enrolment: 40 Estimated TA support: based on enrolment – None Qualifications: PhD or Masters level education in health informatics or related field; A robust understanding of data visualization in health