289 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Canada
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submitted between January 1 and March 31 using this link: https://smrtr.io/pgfps . Please provide a cover letter as part of the resume uploaded or separately via email to WWMfellowship@biogen.com . Please
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for users of the Monarch Android pin‑array tablet (https://www.humanware.com/en-usa/monarch ). In this role, you will work closely with Humanware’s ML developers to design and implement an ML toolchain
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU-59003
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of Applied Science and Medicine, established in 2017. The School is a nucleus for education and training, research, and innovation in biomedical engineering, creating new knowledge, new academic and training programs
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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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 University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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information and support, please visit UBC’s Centre for Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility or contact the Centre
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www.icord.org for more information. Additional information about Dr. Krassioukov‘s laboratory can be found at: http://icord.org/researchers/dr-andrei-krassioukov/. Work Performed: The postdoctoral fellows