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tasks and priorities. Duties are routine, involving knowledge and understanding of the resources and functions related to the University Library. The professional image of the library must be presented by
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imaging. Both experimental and theoretical research will be considered. Candidates who aim to develop partnerships between academia, industry and government research labs to support the Canadian national
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communication both verbally and in writing. . Hiring Unit: Office of First Nations and Inuit Education Course Title: Traditional Healing Subject Code: EDEE 373 771, 731, 741 Location: Whapmagoostui, Chisasibi
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Nations and Inuit Education Course Title: Classroom Based Evaluation Subject Code: EDEE 355 782 Location: Gesgapegiag Schedule: Monday, Tuesday, Thursday: 5:30pm - 8:45pm Deadline to Apply: 2025-07-27
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MSc/PhD Position at the Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
-of-the-art medical laboratories equipped with high-resolution confocal imaging, a Seahorse analyzer for metabolic profiling, flow sorters and cytometers, an electron microscopy suite with advanced tissue
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tasks and priorities. Duties are routine, involving knowledge and understanding of the resources and functions related to the University Library. The professional image of the library must be presented by
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. Hiring Unit: Department of Political Science Course Title: Canadian Voting/Public Opinion Subject Code: POLI 412 001 Location: BURN 1B39 Schedule: Tuesday and Thursday 04:05 pm-05:25 pm Deadline to Apply
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issues. Provides supervision and mentorship to trainees and staff. Teach trainees how to use basic Python and R coding to perform beginner – intermediate level analyses. Present research findings to others
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
prevail. Sessional Dates (excluding Exam period): F courses: Sep. 2 – Dec. 2, 2025 Note: all positions involve completion of any course grading not finished by December 31, 2025 for F courses. Course Code
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. Creating and refining algorithms for data reduction, calibration, RFI flagging, re-gridding, and imaging. Building and maintaining pipelines for automated data processing, from raw data to final science