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Overview On this page Objective The Canada Postdoctoral Research Award (CPRA) program recognizes and supports the next generation of outstanding innovators, knowledge workers, creative thinkers and
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, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
, Mathematical and Computational Biology, Physics, Mechanical Engineering, Continuum Mechanics, or other equivalent discipline. Expert skills required and desirable · Must have a strong expertise in nonlinear
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equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in
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successful in this role, you should possess the following qualifications: A Ph.D. degree in Physics, Applied Physics, Electrical Engineering, or a related field, with a strong background in quantum mechanics
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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, including law, sociology, linguistics, political sciences, education, economy, social work, anthropology, etc. About the research group Activator: The successful candidate will join a newly formed research
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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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 10 hours ago
approaches, our overarching goal is to tackle two urgent and timely issues: 1. Survival under Heat Stress: Investigating how different organisms man age mRNA regulation to adapt and survive in the face of
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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