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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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research-intensive university. We seek candidates able to contribute to curricular development and to teach across our diverse professional (BI, MI, MMSt) and research (PhD) programs. Evidence of excellence
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). We seek candidates able to contribute to curricular development and to teach across our diverse professional (BI, MI, MMSt) and research (PhD) programs. Evidence of excellence in teaching will be
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Engineering, Electrical or Computer Engineering (with a research focus in Software), or an equivalent field or be within a year of completion. The candidate must have a demonstrated record of research
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disciplines. The University of Toronto requires that applicants must have earned a PhD degree in Computer Science or Physics, with a clearly demonstrated exceptional record of excellence in research, service
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Studies; Architecture; Museum Studies; Human-Computer Interaction or a related area, with a clearly demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching
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Posted: May 29, 2025 Tier 2 Canada Research Chair Faculty Position in Supercomputing and High-Performance Computing Department of Electrical and Computer Engineering Queen’s University at Kingston
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. Michael Levin, the Saskatchewan Multiple Sclerosis Clinical Research Chair, you can learn more about our research by clicking on the following links: our TED Talk, ‘STOP MS IN ITS TRACKS!’ (https
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
, interdisciplinary research environment with shared laboratory space and a novel Immersion Laboratory for computer-assisted participatory research. The successful candidate will also have access to extensive