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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 Faculty of Applied Science is available at https://apsc.ubc.ca/faculty/career-opportunities . All positions are subject to final budgetary approval. The University is committed to creating and maintaining
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physics, chemistry and applied science, have established active partnerships with TRIUMF, the Canadian Light Source, the Max Planck Society, University of Tokyo, and many other world leading institutions
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Description About the Faculty of Science and Technology The Department of Mathematics and Computing, Faculty of Science and Technology at Mount Royal University invites applications for a tenure track position
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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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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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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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student - $20/h + 4% vacation indemnity; PhD student $23/h + 4% vacation indemnity Hours: Up to 3 hours per week Duration: ASAP to March 31st, 2026 Teaching and Academic programs is seeking forty (40) U3-U4
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
at the rank of Assistant Professor, Teaching Stream, with an anticipated start date of July 1, 2026 and an end date of June 30, 2029. Applicants must have earned a PhD degree in Philosophy or a closely related
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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