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qualifications, the need to acquire experience, previous experience, and previous satisfactory employment under the provisions of this collective agreement. Application Procedure: For detailed information
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the field 6) Leading or contributing to manuscript writing 7) Deep learning and familiar with large language models Salary will reflect the candidate’s experience, skills, and qualifications. Knowledge
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applicant must have a Ph.D. in computer science, and at least 5 years of post-doctoral research experience. Candidates with specific experience in machine learning methods such Deep Learning will be strongly
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scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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of teaching and learning Deep familiarity with institutional structures, accreditation, and governance is strongly preferred Experience in implementing new initiatives that align with institutional strategies
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Number: COMP 545 - Course Title: Natural Language Understanding with Deep Learning Hours of work (per term): 63 Required duties: • - effectively and timely communicate with the instructor and the
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institutions in regions, countries and cities of strategic priority and leverages international opportunities for research, scholarship, learning and mobility. By providing leadership on international
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11, 2025 Applications for this course will be accepted until 18/08/2025 COURSE SUBJECT CODE: COMP 545 TITLE: Natural Language Understanding with Deep Learning TERM: Fall 2025 LOCATION
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machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning Experience in development and