286 machine-learning-"https:"-"https:"-"https:" uni jobs at McGill University in canada
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Course Title: FMED 702 Analyzing qualitative data: learning inductive approaches Course Code: Estimated Number of Positions: 1 Total Hours of Work per Term: 0 Hiring Unit: Department of Family Medicine
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. Job Duties The successful candidate will be involved in the academic activities of the McGill University Department of Neurology and Neurosurgery, Division of Neurosurgery, Brain-Computer Interface. The
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems
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: The Research Associate will support Professor Benjamin Fung in conducting research related to data mining, machine learning, artificial intelligence, and cybersecurity. Key Responsibilities: Perform
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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, data, and systems meet – particularly around AI and data science. As part of its mission, CDSI offers workshops on topics related to programming languages, data science, machine learning, natural
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, topographic data, land-cover data, and other environmental predictors. Designs and evaluates statistical and machine-learning approaches for modelling plant species distributions and assessing environmental
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for more advanced data analysis, statistical modeling, and machine learning applications. Creative, well organized and self-motivated, with strong analytical, planning and problem solving skills