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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning
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statistical modeling approaches. Support the integration of implementation science methods to improve the translation of research findings into clinical practice. Assist in the development of guidelines and
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subject received within the last 5 years. Applicants from other disciplines, including the quantitative social sciences, computer science, or engineering, with strong interest and commitment to learning
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you can make a difference. Salary Information: $65,000 - 76,000 Benefits Information: TRIUMF paid dental, extended health, vision care, emergency travel assistance, Employee Assistance Program (EAP
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, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological
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platform Collaborating with interdisciplinary neuroscience, engineering, applied maths and data science, computational and clinical rehabilitation teams. Your profile: Training in neuroscience, electrical
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on campus, so candidates with Canadian status will be given preferences. Qualifications: A PhD degree in Economics, Marketing, Biostatistics/Statistics, or a related field, strong computing/programming and
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. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application
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and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
these cell types communicate with each other to stimulate cancer growth and spread. The assurance is that with more knowledge of this kind, we will be able to find new ways to treat tumor diseases