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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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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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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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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 19 hours ago
(are) filled. https://scienceapps1.carleton.ca/fields/postdoc/ Accommodations and Accessibility Should you require a copy of this posting in an alternate format, please contact us as soon as possible
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 4 days ago
, self-motivated, detail-oriented, managing multiple tasks efficiently, and being a team player. The PDF will be part of an interdisciplinary team from various institutes across Canada, the U.S., the EU
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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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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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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data
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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