71 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" Fellowship research jobs in Canada
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academic disciplines are encouraged to apply, including—but not limited to—philosophy, theology, psychology, sociology, political science, law, literature, and the arts. The program is open to U.S. and
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fellowships can help you advance your skills at a U.S. Department of Energy national laboratory or other federal research facility. ORISE manages postdoctoral fellowships across the United States, many of which
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proposal for research support, investigators must first register with our online portal (https://nmss.fluxx.io ) and complete a pre-application. Staff will review the pre-application to determine whether the
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and learning environment for all our students, faculty, and staff. To learn about the Irving K. Barber Faculty of Science, go to https://science.ok.ubc.ca/ . For more information about UBC resources
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Primary Purpose: The Jane and Ron Graham Centre for Scholarship of Teaching and Learning (SoTL) is seeking a highly motivated and collaborative Postdoctoral Fellow to join our dynamic team
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mixed-methods research considered an asset. Experience in dealing with multiple commitments, short deadlines and sensitive clinical or research issues Intermediate or advanced computer skills in
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machine learning with single-cell genomics, spatial omics, and systems biology, supported by strong collaborations across UBC and internationally. Project Recent advances in single-cell and spatial omics
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series, and organize an annual retreat for local universities (https://ecoevoretreat.wordpress.com/ ). Postdoctoral fellows funded by the Biodiversity Research Centre typically interact with several lab
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differences are accepted, recognized and integrated into current structures, planning and decision-making modes. To learn more about UBC’s Centre for Workplace Accessibility, please visit their website https
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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data