Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
-
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
-
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
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
-
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
-
to the Big Data Era & Opportunities for Better Health Care 2. Health Data and Visualization 3. Health Data Analysis and Machine Learning A Graduate Teaching Assistant (GTA) is needed
-
Research Assistant contributes to Dr. Prisman’s research lab in head and neck reconstruction technology by researching and developing machine learning modules and other software tools to improve
-
. 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 students. Our
-
Administration | Go Global: International Learning Programs Compensation Range $7,283.75 - $10,474.08 CAD Monthly The Compensation Range is the span between the minimum and maximum base salary for a position. The
-
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