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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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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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extension. Where You Will Work We offer ideal conditions to carry out your postdoctoral research, including an Institute with a thriving scientific atmosphere. INRS (Institut national de la recherche
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involving autonomic evaluations (e.g., tilt table test, 24-hour ambulatory blood pressure monitoring) with human subjects. They will also be expected to write scientific publications, apply for independent
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monitoring) with human subjects. They will also be expected to write scientific publications, apply for independent research funding, and present their work at institutional journal clubs and international
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of Dr Benoit Gosselin (Université Laval), Guillaume Lajoie (UdeM) and Marco Bonizzato (Polytechnique). It integrates the use of machine-learning approaches to optimize neurostimulation, automation
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on the Posting End Date. Job End Date Apr 21, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all
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working with Environment Canada to build better species distribution models that include species interactions and connectivity. The postdoc will develop professionally by learning new statistical techniques
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community-inspired research, hands-on learning, and alumni who are leading change around the world. Since time immemorial, Indigenous peoples have walked gently on the diverse traditional territories where
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; and the ability and desire to learn new skills in these areas. Required documents: Applications should include (i) a cover letter that states the applicant’s experience and research interests; (ii) a