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with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
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. In order to address systemic barriers and increase diversity in the Canada Research Chairs Program and meet government-mandated requirements , selection will be limited to candidates who identify as
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), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
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promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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text editing and computational approaches to humanities research; and library and archival methods. Book Science projects are interdisciplinary collaborations that surface hidden aspects of books
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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Academic Operations & Administrative Services and working closely with the Chair and Program Coordinators, the Academic Programs Coordinator provides oversight of and leads support for LHAE’s graduate
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, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging