664 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Toronto
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payroll distribution Supporting HRIS records and data management by entering salary and personnel information as well as maintaining and tracking attendance records including timesheet data. Ensuring
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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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computing and graphics. R is currently widely used by information students and data scientists from various disciplines. The course will teach students how to do data science in an easy way. It is designed
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this posting, the rates stated in the collective agreement shall prevail. Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a
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. Extensive and senior professional policy practitioner experience required. Teaching experience at the graduate level required. Preferred Qualifications: Completed PhD preferred. Description of duties
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have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is
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have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is
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the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Qualifications: Preferably candidates will have a completed, or nearly completed, PhD
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that are well-calibrated to the people who use them. This course draws upon the literature of Library and Information Science and related fields to offer a deep treatment of major theories, models, and concepts
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching