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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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to finishing) and expertise in security or privacy aspects of computer and software systems. Topics of interest include but are not limited to: network security, secure distributed computing, language/compiler
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or instructors 24 hours in advance if unable to attend scheduled workshops. ML & NLP: Preferably those with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine
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help them estimate technical support man-hours and cloud computing costs for their corporate-sponsored analytics projects. The role involves helping students plan their cloud deployment, machine learning
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demonstrated expertise in the development of modern statistical theory and methods, or closely related aspects of data science, machine learning or artificial intelligence more broadly. Additional experience
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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