60 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" Fellowship positions in Canada
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Note: This competition is currently closed. The next call is expected to launch in late 2025. For over four years, the University of St Andrews Global Fellowship Scheme has provided prestigious
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
team in the AI in Medicine Lab (www.aimlab.ca ). This position is based in the School of Biomedical Engineering. The successful candidate will work in the AI in Medicine Lab, applying machine learning
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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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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 5 hours ago
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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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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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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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data