2,519 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions in Canada
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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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: Description: Course number and title: ARC3718HF – Selected Topics in Architecture Course description: Students will learn techniques of cutting, shaping, lamination, joining, and finishing with lumber. Students
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POSTING - EDEC 253-714 Second Professional Seminar K/Elem This posting is for one unionized contractual course-by-course appointment to teach one courses as a Course Lecturer. Course lecturer positions
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. Job End Date April 19, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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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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, 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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Primary Purpose: The Jane and Ron Graham Centre for Scholarship of Teaching and Learning (SoTL) is seeking a highly motivated and collaborative Postdoctoral Fellow to join our dynamic team
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Aquaculture Location Truro, Nova Scotia, Canada Job Summary & Key Responsibilities This part-time Academic will teach in person clinics (labs) in a practical clinical setting where we do routine elective
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required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca/tips-for-applying.php#Howtoapplyforaposition Interested
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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