855 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of British Columbia in Canada
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Job Category M&P - AAPS Job Title Report Writer and Onboarding Material Developer Department UBCO | CTL Unit | Centre for Teaching and Learning Posting End Date July 6, 2025 Note: Applications will
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Educational Programming, Level A Job Title Report Writer and Onboarding Material Developer Department UBCO | CTL Unit | Centre
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Academic Job Category Faculty Non Bargaining Job Title Research Associate – Process Development Department Research Leadership | Office of Research | Faculty of Medicine (W Robert McMaster) Posting
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Development & Alumni Engagement, Level C Job Title Development Officer, Sauder School of Business Department Development Sauder
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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience in utilizing machine learning libraries such as PyTorch
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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interdisciplinary research on the determinants of human health, well-being and development. We support secure research access to individual-level, de-identified longitudinal data on 5.4 million residents living in