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Academic Job Category Faculty Non Bargaining Job Profile Research Associate Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty
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Academic Job Category Faculty Non Bargaining Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty of Applied Science (Panos Nasiopoulos
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 8 hours ago
to these specialized imaging tasks. Designing of advanced compression algorithms tailored specifically for medical imaging modalities. Minimum Requirements: Doctorate degree in Electrical and Computer Engineering An
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disease. In this position, the incumbent will perform the following duties, but is not limited to: 1) High-performance computing workflow for large-scale metabolomics data analysis 2) Development of deep
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. Its vision is to transform health care outcomes through the unconstrained exploration of the best possible integrative solutions across engineering, medicine, and biology. The computational cancer
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well as the Paediatric Orthopaedic Sports Injuries Program (POSI-P) which is in the UBC Department of Orthopaedics. They are seeking a temporary full-time Research Coordinator for a 1-year term with the possibility
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
Computer Engineering Fundamentals Algorithms for Computer Engineers Microprocessors Operating Systems Real-Time Systems Computer Security Electrical and Computer Engineering Design Engineering Design II
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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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Home Careers Faculty & librarian positions Assistant Professor Research Stream Faculty Position in Theoretical Computer Science We invite applications from talented scholars for a tenure-track
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D