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in artificial intelligence (AI) and/or machine learning. · Ability to support grant applications and ongoing research project development as well as prepare manuscripts, policy briefs, technical
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). The candidate will be working on developing state-of-the-art methodology in clinical prediction modeling, including novel uncertainty assessment method (Value of Information analysis), as well as Machine Learning
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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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(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