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. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or PhD or equivalent degree in population/public health and other related medical fields with AI and ML
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clinical trials, advanced computational methods, neuroimaging, brain stimulation, body-machine interfacing, gamification of therapy, assistive technology design, development and evaluation, outcome measure
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, or a related area, with a clearly demonstrated
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and companies in the area of gene editing and drug delivery. Qualifications PhD in biomedical engineering, pharmaceutical sciences, biochemistry, or a related field with relevant experience (obtained
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Biomedical Research Centre (BRC). For more information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . BC Cancer’s mission is to reduce the burden of cancer in British
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date of July 1, 2026. Candidates must have a PhD degree in Chemical Engineering or a related field, must hold a baccalaureate degree in Chemical Engineering or an equivalent discipline, and must have a
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Chemical Engineering or a related field by the time of appointment, must hold a baccalaureate degree in Chemical Engineering
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Chemical Engineering or a related field by the time of appointment, must hold a baccalaureate degree in Chemical Engineering
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
integrates biomechanics, neuroscience, artificial intelligence (AI), and engineering to design the next generation of wearable technologies—such as robotic exoskeletons and intelligent prostheses—that adapt