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analyses using advanced scientific tools though an easy to use interface. More information about CBRAIN can be found at https://cbrain.ca and https://github.com/aces/cbrain . Reporting to the Director
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
applications for this job through MathJobs.Org right now. Please apply at https://careers.cse-cst.gc.ca/en/careers/strategic-machine-learning-researcher-CA-228236-en/ . Contact: Adam Laderoute Email: Postal
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, including uncertainty estimation, risk-aware prediction, and data-efficient learning - Continual, transfer, and meta-learning, with emphasis on sim-to-real and real-to-sim generalization - Applied machine
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committees related to teaching, learning and technology. Programming that includes targeting the more than 12000 clinical faculty in the UBC Faculty of Medicine (https://www.med.ubc.ca/about/facts-figures
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departments as required Responds to multiple telephone calls, computer systems, and radio equipment simultaneously Determines the type of service required and location of incident, and ensures emergency
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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of memory, ageing, and the effect of Alzheimer’s Disease risk factors on midlife brain function and cognition. The applicant should be interested in applying multivariate and machine learning neuroimaging
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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 achieve inclusion and
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Science (MADS) program, offered jointly with the Department of Electrical and Computer Engineering. The position typically involves teaching six courses over three terms with a flexible assignment, such as