Post-doctorate fellowship in machine learning for medical imaging and bioinformatics

A post-doctoral fellowships (PDF) position in the field of machine learning/computational biology is available in the School of Biomedical Engineering and Department of Pathology and Laboratory Medicine at the University of British Columbia/Vancouver General Hospital. The incumbents will join an interdisciplinary team working to establish a program on machine learning applications in pathology and genomics. Candidates are expected to have extensive experience in one or more of the following areas: diverse areas of machine learning and statistics especially deep neural networks, statistics, and image processing. The candidate will play an important role in the project team, including authoring grants, conducting large-scale international projects, managing collaborations, disseminating research findings, and assisting in managing junior lab members. Organizational Status: The successful candidate will report to the Principal Investigator (Director of AI Research at OVCARE, Dr. Ali Bashashati).

• Developing efficient deep learning algorithms for the classification and risk stratification of patients based on whole slide tissue images.
• Developing machine learning algorithms for studying the correlation between genomic/transcriptomic signatures and whole slide tissue images in cancer samples.
• Senior members: participation in the preparation of manuscripts and grant applications.
• Senior members: Participation in supervising junior lab members.