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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 7 hours agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
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expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
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research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the
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on investigating, analyzing and writing up projects related to building a program for speech-based monitoring of neurodegeneration using behavioural and neuroimaging datasets combined with machine learning
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Emergency Sessional Lecturer - HIS311H1S Canada in the World Course Description: Ranging from the fifteenth through to the turn of the twenty-first century, students will learn about the treaties
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Date Posted: 07/03/2026 Req ID: 49174 Faculty/Division: Centre for Teaching and Learning Department: UTSC:Ctr-Teaching & Learning Campus: University of Toronto Scarborough (UTSC) Description: Nature
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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify