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demonstrating clinical techniques, guiding experiential learning, and promoting safe and effective practice using simulation models, cadavers, and live animal experiences. The instructor contributes
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on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day. The Department of Electrical and Computer Engineering has
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, models and standards is preferred. - Experience with Python, PHP, SAST, DAST, SCA, SAML, OIDC, PostgreSQL, MariaDB, TDD, HTTP, TCP/IP, x509 certificates, network/systems inventories and architecture, DNS
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expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be a part of the Walk Tall research team based at BC Children’s Hospital. The Postdoctoral Fellow will
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requirements and needs for interprofessional teaching and learning, interdisciplinary research, and outreach and engagement of the colleges and programs utilizing the facilities. The Associate Director
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
. Ali Bashashati). Responsibilities Designs and implements machine learning models for bulk and single-cell genomics and transcriptomics. Analyzes spatial transcriptomic datasets to uncover tissue
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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Tenure-Track Faculty Position in Microelectronics and Photonics (Teaching-Focused) The Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty of Engineering and Applied
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. Integration of Artificial Intelligence and Remote Sensing Science: machine-learning / automated analysis of large datasets, calibration and validation, feature extraction, image processing and classification
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image