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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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, 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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
, although candidates are expected to have established strengths in spatial statistics and/or applied machine learning. Grounded in the CERC-NEST goal of connecting statistics with knowledge co-production
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advances in artificial intelligence, machine learning and multidisciplinary design optimization for the synthesis of next-generation autonomous air systems. We seek researchers who can collaborate across
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https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | 16 days ago
to the development, growth, and leadership of the Computer Engineering Program in the School of Engineering. The program integrates foundational and applied courses in engineering, with hands-on learning and immersive
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End Date Ongoing At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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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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Primary Purpose: To provide leadership, vision and direction for the Clinical Learning Resource Centre. The Associate Director, Clinical Learning Resource Centres, oversees the development and
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personnel and service workers that provide trusted services and stewardship in support of teaching, learning, and discovery. This team is responsible for operations, maintenance, service, utilities
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, Computer Science, Computer Information Systems, Data Science, Environmental Science, Geology, and General Science which allow students to prepare for a variety of exciting careers in science and technology