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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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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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, clinicians and imaging experts from UBC, BCCRI, and our international institutional and industry partners. The fellow will work within our multidisciplinary team (medical physicists, engineers, nuclear
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover
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. The ideal candidate holds a PhD in computer science, bioinformatics, biomedical engineering, electrical engineering or similar The UBC Department of Orthopaedics has an international reputation for excellence
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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable
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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop
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applicants who receive their PhD less than one year prior to their start date. Fellows from a diversity of disciplines — from groups who have traditionally been underrepresented in science, technology