244 machine-learning-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" positions at University of Toronto
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tenure stream position in Sound in/on Cinema and Media / Experiential Learning. This will be a joint appointment between the Cinema Studies Institute (75%) and Innis College (25%) at the rank of Assistant
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Number: 00038267 Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and
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experiences that provide a solid foundation for successful careers and life-long learning. In addition to hosting a wide range of professional development workshops, events and services throughout the year, the
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adapt to evolving processes and procedures Strong communication skills, both verbal and written Public Speakingand great interpersonal skills Ability to learn and utilize different computer applications
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processes and procedures Strong communication skills, both verbal and written Public Speaking and great interpersonal skills Ability to learn and utilize different computer applications and technologies
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point for collaboration between computer scientists, healthcare providers, trainees, medical basic science researchers and industry to advance health through machine learning. The mission of the Centre is
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experiences that provide a solid foundation for successful careers and life-long learning. In addition to hosting a wide range of professional development workshops, events and services throughout the year, the
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) Position Number: 00043078 Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection
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discovery that has changed the way we think about the world. Your opportunity: The Dynamic Graphics Project (DGP) laboratory is the primary computer graphics, computational imaging, and human-computer
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Engineering side, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our