56 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs in Canada
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Machine Learning Department Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper
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machines Ability to apply critical thinking to laboratory procedures. Ability to observe, collect, and record data Ability to provide guidance and to work alongside other research assistants and established
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artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and managing cardiovascular disease by
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an asset Experience working in clinical health research with human subjects preferred Superior computer skills including a good knowledge of Microsoft’s Office suite (Word, Excel, PowerPoint, MS Teams
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, Research Assistant 1 position is in Prof. Thomas Szkopek’s research team, in the Department of Electrical and Computer Engineering Position Summary: Assist Prof. Szkopek’s research group in graphene ion
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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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tracking system building in appropriate safety checks. Creation of source documents and Case Report Forms as directed by the data manager utilizing established SOP and an existing computer design program
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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and familiarity with psychiatric questionnaires and interviews; Demonstrated experience with computers and computer software including MS Word for Windows, MS Excel, Power Point and SPSS; Effective oral
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validation of machine learning and artificial intelligence algorithms for biomarker discovery and treatment selection in gynecologic cancer. The incumbent performs a variety of moderately complex technical