20 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs in Canada
Sort by
Refine Your Search
-
technical equipment, including confocal microscopes, data storage servers, computational workstations, and high-content imagers. They will also support the day-to-day operations of the laboratory, which
-
Note: This is a bi-annual award. The H.L. Holmes Award has been established by the National Research Council of Canada (NRC) in honour of the late Dr. R.H.L. Holmes, a chemist who spent most of his
-
are: Create favourable circumstances for the development of a field of research and a community of research on access to justice for OLMCs Produce scientific data for and with the access to justice stakeholders
-
. Will work in collaboration with other lab members on various projects, as guided by the Principal Investigator, Dr. Dong. Will work in partnership with other lab members in the maintenance of the lab
-
stroke experts who will advance sex- and gender-based analysis (SGBA) in stroke diagnosis, treatment, and rehabilitation across Canada,” says Dr. Amy Yu, University of Toronto, and lead of StrokeGoRed. “A
-
research group (https://www.impellizzerilab.com/ (external link) ) in the Department of Chemistry and Biology (https://www.torontomu.ca/chemistry-biology/ ) within the Faculty of Science at Toronto
-
in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data
-
using community-engagement methods ✓ Experience working with diverse partners and community members • Curriculum vitae • Names and contact information (including email addresses) of four
-
the EarthCARE Cloud Profiling Radar (CPR) Doppler velocity observations. Lead the development of data products for convective systems for the upcoming WIVERN mission, employing a combination of forward and
-
spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation