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The Department of Mathematics and Computing, Faculty of Science and Technology at Mount Royal University invites applications for a tenure track position which will commence July 1, 2026, subject to
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 206 Course Title: Introduction to Signals and Systems Course Credits: 3 credits Location: RPHYS 112 Schedule
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Program is part business school, part research institution, and part startup incubator. Based at the Jacobs Technion-Cornell Institute , Runway ushers recent PhDs in digital technology fields through a
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The Department of Mathematics and Computing, Faculty of Science and Technology at Mount Royal University invites applications for a tenure track position which will commence July 1, 2026, subject to
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to supervise the research of graduate trainees as part of their independent research program. Qualifications The successful candidate must possess a PhD in Biostatistics, Statistics, or a Health-related
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Description About the Faculty of Science and Technology The Department of Mathematics and Computing, Faculty of Science and Technology at Mount Royal University invites applications for a tenure track position
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4 Dec 2025 Job Information Organisation/Company École Polytechnique de Montréal Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 days ago
at least their 2nd year of training in any discipline related to the 4 pillars of the PhD in Interdisciplinary Cancer Sciences Program: (1) cancer biology, (2) cancer therapeutics and diagnostics, (3) cancer
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the materials science and manufacturing related to steel. The postdoc should have experience in the physics of materials and advanced computing. Qualifications: PhD in related field Annual Salary: $63,500.00
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in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data