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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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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
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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design, technical, and communication skills learned previously, while refining their skills in teamwork and project management. The course will take a “systems approach” to machine intelligence design
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: The R2L Lab explores how language understanding improves machine learning efficiency and generalization. We are a leader in agentic benchmarks and evaluation; our platforms serve as primary evaluation
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, 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 necessary
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 22 days ago
assignments. Access to a computer (no tablet/iPad/phone) with working internet to run Microsoft Teams for online meetings and instruction is required. Clinical Instructors will report to the instructor
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. The selected candidate will be nominated for a Tier I Canada Research Chair (CRC) (website ). The CRC is tenable for seven years and renewable once. The human brain is a hyper-efficient computer, capable of
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on the Posting End Date. Job End Date February 23, 2029 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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research, education and community service on university and hospital campuses across BC. Together, we aim to create knowledge and advance learning that will make a vital contribution to the health