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techniques relevant to diverse datasets. · Experience with epigenetics, genomics, multiomics, big data and machine learning an asset. · Is willing to learn new techniques and novel analysis methods
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relevant to diverse datasets. Experience with genomics, multiomics, big data and machine learning an asset. Is willing to learn new techniques and novel analysis methods for application. Skills in R required
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Date. Job End Date Jun 27, 2026 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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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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environment. Proficiency in learning management systems and other computer applications as required.
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. Together the two departments are primed to chart new pathways for transforming health system innovations using AI and Machine Learning (ML). UBC’s campuses are located on the traditional, ancestral, and
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 4 days ago
innovations using AI and Machine Learning (ML). UBC’s campuses are located on the traditional, ancestral, and unceded territories of the Syilx (Okanagan) Peoples and of the Coast Salish Peoples, including
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. 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, staff and students. Our
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, and 6.75 FTE staff members (including the Administrator) . There are 53 MA and 45 PhD students. Admission into these programmes is by application, and almost 200 are received each year. Approximately
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shared laboratory space and a novel Immersion Laboratory for computer-assisted participatory research. The successful candidate will also have access to extensive computational resources, including