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with the following required qualifications: - PhD in physics or engineering, specializing in the development and use of ultrafast laser technologies and associated spectroscopy techniques. - Experience
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
proposing an original, innovative research program of high quality. Nominees should be within ten years of receiving their PhD. Applicants who are more than 10 years from having earned their highest degree
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, Ph.D., M.Sc.A., ing. Full professor and chair Department of Electrical Engineering Polytechnique Montréal To apply, please e-mail your file by to: https://www.ge.polymtl.ca/poste-25-pr-5/ . Polytechnique
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
Candidates must have earned a PhD degree in Biological Sciences or a related area and a minimum of two years of postdoctoral experience at the time of the application, with a demonstrated record of
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology, developmental
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
targeted efforts in recent years across departments spanning the Sciences, Social Sciences, and Humanities. Applicants must have earned a PhD degree in Biology, Biotechnology or a related area, by the time
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entry-to-practice degree (BScN or MN) in nursing, as well as a PhD in nursing or a related discipline. All applicants must be eligible for registration with the College of Nurses of Ontario. Candidates
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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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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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. 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