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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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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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: 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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 10 days 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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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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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
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repositories programmed in Python, Pytorch, LangChain using git repo. Develop clean, readable, and maintainable public code using object-oriented programming principles in Java and Python. Apply machine learning
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under minimal supervision, • Demonstrated versatility with computer applications, namely Windows, MS Word, Excel, Outlook and Internet, • Proficient French and English spoken and written. Additional
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seeking a Course Lecturer to teach INFS 635: Computer Programming for Information Professionals. Course Overview This course introduces the fundamentals of computer programming, with a focus on the
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551 Applied Machine Learning F 2025 LOCATION Downtown Campus Schedule MW TEACHING