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Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self
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the area of clinical prediction modeling. The candidate will be supervised by Dr. Mohsen Sadatsafavi, MD, PhD within UBC Faculty of Pharmaceutical Sciences. RESP is embedded within Collaboration for Outcomes
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multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER) Textual and Voice data Apply supervised, unsupervised, and self-supervised learning methods. Develop
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The fellowship program has an outstanding reputation for attracting the best and the brightest PhDs in the sciences and for training future leaders in Climate and Global Change Science. In FY25
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virology assays on samples obtained from humans and mice and be responsible for developing and testing new immunological methods in the lab. The candidate will also contribute to other ongoing projects
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, governance, and community-engagement protocols, particularly for Indigenous and rural data Adapt AI and machine translation methods for low-resource and Indigenous languages Evaluate model fairness, bias, and
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the clinical setting Leading evaluation of body composition, using CT scans or other innovative methods Organizing and collecting clinical data Conducting rigorous quantitative research analyses with a strong
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tools that enable biological discovery in cancer, regenerative medicine, and neuroscience. The Postdoctoral Fellow will work closely with experimental collaborators to apply these methods to real
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methods for low-resource and Indigenous languages Evaluate model fairness, bias, and performance across diverse patient groups and care settings Work closely with provincial health partners, including
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The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural