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: Department of Mechanical Engineering Course Title and Course Number: MECH 393 - Machine Element Design Estimated Number of Positions: 2 Total Hours of Work per Term: 90 hours per TA Position Summary: Assisting
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
. Experience with social media, web and digital content design and/or development, and library communications and outreach. Knowledge of emerging trends in machine learning and artificial intelligence
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diversity. We nurture a love of learning that will last a lifetime. We aim for academic growth in all subject areas. We prepare campers for leadership and service in society. We respond to challenges and use
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: Technical Skills in the following categories are necessary: Strong background in image processing techniques. Experience with AI, machine learning and deep learning algorithms, particularly in computer vision
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Beginning of the main content section. Printable Format Job 1 out of 44 Previous | 1 2 3 4 5 | Next Job Description - Early Learning and Child Care Consultant (CON003022) Early Learning and
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integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following link: https
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https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
to the development, growth, and leadership of the Computer Engineering Program in the School of Engineering. The program integrates foundational and applied courses in engineering, with hands-on learning and immersive
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Primary Purpose: To provide leadership, vision and direction for the Clinical Learning Resource Centre. The Associate Director, Clinical Learning Resource Centres, oversees the development and
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of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural