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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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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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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
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, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain. These Fellowships will fund research and provide training in AI and related
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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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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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diversity and representation at all levels of teaching, learning and research. Nominees must be nominated by their prospective Faculties/divisions following the timeline and processes outlined below. While
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offers an intimate learning environment and excellent opportunities for regional, national, and international scholarly activities. The vibrant Irving K. Barber Faculty Science offers both discipline-based
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sciences, and the arts. Fellows of the College for Life Sciences are invited to become part of this “learning community”. Our goal is to promote a kind of science that transcends disciplinary boundaries and