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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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analyses of these data for research, quality improvement and surveillance purposes. The incumbent will apply appropriate methods to aid in the creation of a learning health system around opioid-related
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analyses of these data for research, quality improvement and surveillance purposes. The incumbent will apply appropriate methods to aid in the creation of a learning health system around opioid-related
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of Philosophy in Electrical and Computer Engineering (PhD) Cross Stack Optimizations for large Deep Learning Models Lorna Tu Doctor of Philosophy in Medical Physics (PhD) Predicting lung cancer recurrence after
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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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development and target discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by
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discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by the time of
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environment. Proficiency in learning management systems and other computer applications as required.
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: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including Information