24 postdoc-distributed-algorithms Fellowship positions at University of British Columbia
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interpretable autonomous experimentation systems remains a major research challenge. The successful candidate will develop reinforcement-learning and decision-making algorithms for autonomous laboratory platforms
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development and community building: opportunities to build a network of advisors and connect with principal investigators and postdocs in other disciplines, as well as special-interest activities (like thematic
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international scholars. Postdoctoral Fellows receive $80,000 each year in salary, $1,000 each year in dedicated research funds, and Notre Dame benefits. Note: This opportunity is only for postdocs working on love
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to understand ore distribution. The postdoctoral researcher will work closely with a MSc student undertaking a structural study of the Blackjack deposit. Interviews will take place mid-January 2026
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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that the University of British Columbia Faculty of Medicine and its distributed programs, which include four university academic campuses, are located on traditional, ancestral and unceded territories of First Nations
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scientists, postdocs, field and data technicians Publish results in peer-reviewed journals a timely fashion Employ excellent communication skills with colleagues, collaborators, and mentors about all aspects
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If you are a recent doctoral graduate, or postdoc, and would like to obtain additional training within your field, ORISE can help you find a postdoctoral research fellowship at a national laboratory
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enquiries, please contact pcigr@eoas.ubc.ca To apply, please email pcigr@eoas.ubc.ca using the subject: PCIGR U-Pb postdoc application and provide: current curriculum vitae cover letter highlighting how you
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motivated and skilled postdoctoral fellow to join a project focused on developing statistical models to understand the spatiotemporal distribution of marine mammals in the Arctic. The project will help