102 phd-position-in-cryptography Fellowship positions at University of British Columbia
Sort by
Refine Your Search
-
safety surveillance. Appointment Details This is a 1.0 FTE position for a one-year term, subject to renewal. The expected pay range for this position is $75,000 to $90,000 per year. Reporting Relationships
-
Date September 3, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date July 31, 2026 The expected pay range for this position is $75,000 to $90,000 per year. Job
-
for this position is $75,000 - $95,000 CAD per annum dependent upon skills and experience. Postdoctoral Fellowship Opportunity: Intrusion-Related Gold & Critical Metals in Yukon The Mineral Deposit Research Unit
-
Position: The University of British Columbia (UBC) and BC Cancer Research Institute (BCCRI) are seeking a talented post-doctoral fellow to join us in Vancouver, BC, Canada. The research will
-
of Medicine (Katrina Bouchard) Posting End Date August 16, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date September 30, 2026 The expected salary for this position
-
of supporting therapeutic-grade T-cell development. Environment and Collaboration This position is embedded in a dynamic, interdisciplinary team comprising computational biologists, bioengineers, and
-
your research interests and fit for the position Curriculum vitae with publication list Contact information for 3 academic references Applications should be submitted via UBC Workday Careers. For any
-
Fellows are expected to already have a strong track record of scientific achievement from their PhD studies, combined with a clear intellectual curiosity and desire to drive future discoveries. They should
-
End Date July 6, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Jun 30, 2026 The expected salary range for this position is $70,000 to $80,000 per year
-
position focuses on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and