663 parallel-and-distributed-computing-phd positions at University of Toronto in Canada
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Course number and title: PAP113 - Physiology for the Physician Assistant Program Course description: This is a required introductory physiology course for students in the functioning of the human
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
the logistical execution of events and programs, developing communication strategies, evaluating outcomes, and coordinating internal funding competitions. In parallel, the Advisor serves as a key resource on
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. Qualifications: Preferably 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
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, familiarity with various ASL curriculums, such as Signing Naturally and TRUE+WAY ASL (TWA), is essential. Preferred Qualifications: A Master's or PhD in a relevant field is preferred. Previous experience
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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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public outreach. The goal of the AC training program is to demonstrate the utility of self-driving labs and provide participants with the skills required to leverage AI and automation to build or use self
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to inquiries and redirects to appropriate contact, assists the with Master of Public Policy program students and activities, answers the main telephone line, receives, distributes and sends courier packages and
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Program provides educational, cultural and workplace programming to facilitate success in the workplace. Faculty supervise thesis-based MSc and PhD students and postdoctoral researchers through
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interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with cluster computing and job
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maintenance Experience in interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with