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, electrical engineering, applied mathematics, or a related field. Significant experience and publication on AI and image processing is a requirement. Experience with foundation models, explainable AI and/or
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Project Overview: Foundation models have revolutionized natural language processing. These are models trained on broad datasets with powerful generalization tasks such as the GPT series. There have
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. The position is located in Vancouver, Canada where the candidate will join the Pharmacokinetic Modeling and Simulation (PKMS) laboratory at UBC’s Faculty of Pharmaceutical Sciences and the Laboratory team
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environment allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling
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, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field
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have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and