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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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(3) years in a relevant field (e.g., Computer Science, Computational Linguistics, Data Science or related disciplines) Strong experience or demonstrated interest in AI, NLP, machine learning
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disciplines) Strong experience or demonstrated interest in AI, NLP, machine learning, or digital health research Experience working with clinical, communication, or patient-generated datasets is an asset
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junior research team members (including undergraduate research trainees). Qualifications ● PhD in computer science, bioinformatics, data science or similar, with a focus on machine learning
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, seminars, and workshops. Translate findings for diverse audiences while maintaining scientific rigor. Qualifications: PhD in artificial intelligence, machine learning, cardiovascular medicine, genomics, or a
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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