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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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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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monitoring, experimental procedures, data collection and documentation Experience working under approved animal ethics protocols Strong experimental design, troubleshooting and organizational skills Ability
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potential, and the ability to establish a competitive, internationally recognized research program. The Lunenfeld-Tanenbaum Research Institute requires that candidates must hold a PhD, MD, or equivalent
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genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health record data across UK Biobank, All of Us, CLSA, and
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quantitative imaging, quality control, benchmarking, and/or protocol development. Ability to manage diverse, rapidly changing responsibilities in fast‑paced, collaborative research environments. Strong