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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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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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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
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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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and managing scalable ETL (Extract, Transform, Load) pipelines to integrate multi-source, multimodal datasets Applying big-data analytic, including spatio-temporal modeling and deep learning techniques
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 16 days ago
. Qualifications: Masters degree in Computer Science. Proficient in Python programming, and deep learning packages like PyTorch and JAX. Prior research experience and publications. Before applying, please note that
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learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a
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experience; knowledge of University of Toronto structure; deep familiarity with academic HR life cycle, tenure process, and University academic HR norms. Excellent knowledge of the University’s academic
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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for a career at one of Canada’s top employers? Work where the world comes to think, discover and learn. Consider a career at the University of Toronto. About the University of Toronto Libraries