664 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of British Columbia
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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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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Machine Learning Engineer/Scientist Department Bashashati Laboratory | School of Biomedical
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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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Staff - Union Job Category CUPE 2950 Job Profile CUPE 2950 Salaried - Administrative Support 4 (Gr8) Job Title IKBLC Learning Spaces Assistant Department UBC Library I Irving K. Barber Learning
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Student Management, Level D Job Title Director, Student Engagement & Learning Department UBCO | Program Administration | UBCO
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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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integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following link: https
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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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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