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Job Title: Collaborative Postdoctoral Position - Medical Imaging AI Organization: Department of Radiology, University of British Columbia Collaborative Partner: Torus Biomedical Solutions Location
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. Demonstrated ability to create and foster relationships with people of diverse backgrounds and education levels. Demonstrated ability to present research results. To Apply: Applications will be accepted by email
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 days ago
research, but also for certain higher education pedagogical training. Teaching may be included in the tasks. For the employment as a postdoctoral research, scientific ability will primarily be taken
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of Food Science and Agricultural Chemistry at McGill University is seeking applications to fill a Postdoctoral Fellow position under the supervision of Dr. Stéphane Bayen: Postdoctoral Researcher
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multi-ancestral populations. General Duties We are seeking a talented postdoctoral fellow with strong quantitative science skills and an understanding of epidemiology, bioinformatics, and/or genomics
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and maintenance of rodent neuronal and primary cultures as well as human cell lines. Ability to perform and troubleshoot a wide variety of molecular and cellular biology techniques: Western blotting
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to accelerating discovery and shaping a better world. TRIUMF has recently received funding to build a Terahertz photon source, which will be powered by the existing 30 MeV superconducting electron linear
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materials, superconductors, photoelectron spectroscopy, electronic structure Required Skills: A Ph.D. in relevant field within the last 5 years or soon to be completed. Relevant experience in experimental
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? Are you interested in exploring the exciting frontier where quantum transport meets quantum optics? If so, we invite you to join our dynamic and innovative research team as a Postdoctoral Researcher. Two
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We are setting up a new lab at the ECE Department, University of Alberta, focusing on exciting research topics in computer vision and machine learning, such as geometric methods for computer vison