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Physiological Sciences and the Department of Mathematics at The University of British Columbia (UBC) invite applications for a Tier 2 Canada Research Chair in Mathematical and Computational Modelling in Cell
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day ago
Columbia V6T 1Z2, Canada [map ] Subject Area: Mathematical and Computational Modelling in Cell Biology and Physiology Salary Range: $CAD 150,000-170,000 Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/09
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Academic Job Category Faculty Bargaining Job Title Tier 2 Canada Research Chair in Mathematical and Computational Modelling in Cell Biology and Physiology Department Department of Cellular and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 11 hours ago
performance, task and data parallelism, parallel models (shared memory, message passing), synchronization, scalability and Amdahl's law, Flynn taxonomy, vector processing and parallel computing architectures
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approach that links detailed process measurements with integrated hydrometeorological and physical lake models. The successful candidate will enroll in a graduate program (MSc or PhD) in Natural Resources
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. The program has created more than $51 billion in equity in less than thirteen years targeting companiesthat have the potential to transform our social, industrial, and economic landscape. Its mission is to
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the intersection of biotech and AI. We launch transformative therapeutic projects by providing initial investment, world-class teams, and state-of-the-art infrastructure. Our model empowers visionary leaders
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daily functioning of the body program office Technical/Lab Repair skeletons and anatomical models, maintain and organize student bone collection and prosected specimens; cataloguing these collections
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models to support the quarterly and annual budgetary and reporting cycles, long-term forecasting requirements as well as creates critical financial reports and analyses for strategic initiatives across
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for prediction tasks. Uses interpretability frameworks to identify important parts of regulatory DNA sequences. Uses compute clusters for running models and model benchmarks, and analyzing data. Carries out any