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COMP 551 Applied Machine Learning F 2025 LOCATION Downtown Campus Schedule
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with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing
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related aspects of data science, machine learning or artificial intelligence more broadly. Additional experience doing inter-disciplinary research is an asset. The Department welcomes applications
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Number: COMP 551 - Course Title: Applied Machine Learning Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and
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initiatives, or with programming language experience and experience in machine learning and health informatics. An understanding of the digital health space, is expected but not essential. Must have previously
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 2 months ago
the supervision of the immediate supervisor, you are expected to develope computer code for implementing research ideas, participate and lead weekly research progress meetings and write research articles
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the broader technical support team with troubleshooting and implementation tasks. Maintain websites Other Qualifying Skills and/or Abilities: Basic knowledge of computer hardware and software Familiarity with
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, • Comprehensively use computer software and technology, • Experience in clinical research or oncology is an asset. Additional information Status: Temporary, full time (35-hour workweek) Pay Scale: with DEC
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and