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The purpose of the Mathematical Sciences Postdoctoral Research Fellowships (MSPRF) is to support future leaders in mathematics and statistics by facilitating their participation in postdoctoral
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For 2026-27, SLMath will appoint 6-8 Postdoctoral Fellowships to each of the programs. Fellowship applications are reviewed by program organizers and the Broadening Participation Advisory Committee, who recommend finalists to the Scientific Advisory Committee (SAC) for approval at its January...
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University of Alberta, Mathematical and Statistical Sciences Position ID: UAlberta -PDF [#26484] Position Title: Position Type: Postdoctoral Position Location: Edmonton, Alberta T6G 2G1, Canada
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Description The Multimodal Mobility Systems Lab at UBC Civil Engineering Vancouver is seeking a full-time postdoctoral researcher. Our group investigates questions about how long-distance, multimodal transportation systems and their components operate, and how to plan systems that are responsive...
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One full-time postdoctoral fellowship position is available in the field of quantitative drug analysis (i.e., bioanalysis). The position is a joint appointment between The University of British Columbia (UBC) and the British Columbia Centre for Excellence in HIV/AIDS (BC-CfE). The candidate will...
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-breaking discoveries. The program is looking for the brightest minds in the natural sciences, mathematics, engineering, and computing who are interested in broadening their horizons. Candidates to be
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/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK
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, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field
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have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement
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and deep learning. Strong Computer Vision background with publications in top/mid-tier conferences e.g., CVPR, ICCV, ECCV, WACV. Strong mathematical understanding and skills in applying Machine Learning