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Applications of Ultrasound and Microbubbles” (external link) (external link) within the Faculty of Science at Toronto Metropolitan University, Toronto, Canada. Our research program is developing an image
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data
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, Biostatistics, Health Economics, Health Informatics, Cancer Research, Data Science, or a closely related discipline. Minimum of three years of research experience (including graduate studies) in health services
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postdoctoral fellowship. The successful candidate will join a national interdisciplinary research program examining rehabilitation as a critical component of Canada's health and social systems. The postdoctoral
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: Develop advanced bioimaging methods and apply them to study the molecular mechanisms that paxillin and its binding partners use to regulate cell migration. Will learn cell biology, advanced microscopy
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investment program in the Canada Research Training Awards Suite (CRTAS) administered by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC
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. Applications are submitted directly to the associated granting agency The Canada Postdoctoral Research Award (CPRA) program recognizes and supports the next generation of outstanding innovators, knowledge
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genetics, computational biology, bioinformatics, epidemiology, biostatistics, computer science, or a closely related quantitative discipline. In addition, the successful candidate will demonstrate
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career development of trainees and is followed by support to establish and sustain an independent research program, REDI develops the next generation of health research leaders. The CIHR REDI program helps
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researchers are well supported and for the smooth day-to-day operations of the biobank. You will be working together with a dynamic team, including laboratory technologists, clinical informatics and data