65 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Fellowship positions in Canada
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
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
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 hours ago
https://dal.peopleadmin.ca/postings/20473
-
, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data
-
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
-
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
-
research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
-
member of one of these groups and complete the Employment Equity (EE) section of the application. If you would like to learn more about self-declaration, please consult this website: https://www.canada.ca
-
expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be a part of the Walk Tall research team based at BC Children’s Hospital. The Postdoctoral Fellow will
-
$60,000, plus benefits Job Description 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