114 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" Fellowship research jobs in Canada
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The L’Oréal USA Fellowships for Women in Science program is a national awards program that annually recognizes and rewards five U.S.-based women researchers at the beginning of their scientific
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
Professor Kenneth Rockwood (Geriatric Medicine) and Professor Andrew Rutenberg (Physics) to develop and analyze dynamical models and quantitative measures of health using primary care and emergency care data
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Research Program; they are in addition to the fellowship stipend and professional development support.
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. The successful fellow will also contribute to collaborative efforts aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale Human Program and UBC’s Biodevice
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The next call for Letters of Intent will open in late-2025 or early-2026. The HFSP fellowship program supports proposals for frontier, potentially transformative research in the life sciences
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addition, AFRI programs help develop new technologies and a workforce that will advance our national security, our energy self-sufficiency, and the health of Americans.
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community partners. Please visit our websites for more information about the BCCVH (https://www.bcvulvarhealth.ca/ ) and Dr. Bouchard’s research lab (https://phaselab.med.ubc.ca/ ). Dr. Katrina Bouchard is a
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aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology, developmental
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cloning. Additionally, there is the possibility of mouse xenograft studies. Working as part of a collaborative team, the fellow will mentor junior lab members, prepare manuscripts stemming from this work
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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects