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and flexibility to travel to Switzerland as required MINIMUM QUALIFICATIONS: Your qualifications include a recent Ph.D. (within 5 years) in particle physics (or you are expecting to complete your PhD
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closely with researchers at McGill and partners worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability of the developed systems. Qualifications: PhD in
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gender-based analysis (SGBA) in stroke diagnosis, treatment, and rehabilitation. The fellowship is open to full-time post-doctoral fellows (MD/PhD) training at a Canadian academic institution under
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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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collaborate with early career researchers, Northern partners including Indigenous communities, and international experts to analyze data and integrate findings into broader ecological models, enhancing our
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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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and characterization of products (HPLC, PAGE, UV, NMR, CD) Conduct in vitro, and cell-based assays Work with and assist graduate and undergraduate students Participate and present at group meetings
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: Develop and conduct a variety of laboratory-based analyses of soils, soil amendments, biomass, etc. using a variety of analytical techniques and instruments. Conduct research in biomass conversion including
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 2 months ago
biomedical techniques and technologies. The position will be based in McGill University's Department of Physiology, in Montreal, Quebec, Canada. The project’s objective is to further develop a high-throughput
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of Geography Job description: We seek a postdoctoral researcher based at McGill University to join an exciting interdisciplinary project, CanN2ONet (https://cann2onet.org/ ) — an NSERC-SSHRC funded collaborative