2,560 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions in Canada
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University of Northern British Columbia | Fort St John, British Columbia | Canada | about 1 month ago
the ideal start date is July 1, 2025. As an institution committed to the fostering of an inclusive and transformative learning environment, UNBC values high quality and growth in both teaching and scholarship
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-language pathologist. Please visit https://www.mcgill.ca/scsd/about/job-postings for more details. DEADLINE TO APPLY IS FEBRUARY 15, 2026. McGill University is committed to equity and diversity within its
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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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. program that we are committed to diversifying and expanding in the coming years. To learn more about our department, see https://www.ulethbridge.ca/artsci/philosophy . Our University: The University
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. Introduction to the Big Data Era & Opportunities for Better Health Care: May 12 to July 29, 2026 2. Health Data and Visualization: June 23 to Sep 10, 2026 3. Health Data Analysis and Machine Learning: Aug 4
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to the Big Data Era & Opportunities for Better Health Care: Dec 29, 2026 to Mar 15, 2027 2. Health Data and Visualization: Feb 16 to May 5, 2027 3. Health Data Analysis and Machine Learning: Mar 30 to June 17
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: The Faculty of Engineering is searching for eligible candidates as invigilators for the Winter 2026 term FACC 300 midterm exam. For details job description, please visit: https://www.mcgill.ca/engineering/about
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning
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oversight and granular technical execution; the incumbent manages institutional-scale data governance and the lifecycle of major survey operations while remaining deeply engaged in hands-on technical tasks
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The focus of the Students division is to serve and support the academic and non-academic growth and development of students. Our strength is in our approaches to peer-to-peer learning and student