24 programming-"Multiple"-"Duke-University"-"U"-"O.P" "U.S" Postdoctoral positions at McGill University
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 24 days ago
tasks. Proven ability to manage projects efficiently and handle multiple responsibilities simultaneously. Demonstrated capacity to work independently, showing initiative and adaptability in dynamic
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: Department of Chemistry Position Summary: Assemble and test the electrochemical system. This will include adapting a program to run the instrument. Synthesize new materials based on the needs of other McCalla
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to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing
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(UMCES) with key partners in the U.S., Canada, and the UK, is jointly funded by the U.S. National Science Foundation, UK Research and Innovation, and Natural Sciences and Engineering Research Council
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qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify
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identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members
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& Evidence: Investigating applied policy and programming questions to strengthen pandemic prevention, such as early warning systems, crisis data infrastructure, and overlooked drivers of vulnerability