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. Assets (Nonessential): Experience with FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics). Excellent skills with Solidworks, Inventor, and/or Siemens NX, or other solid modelling software
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Information Systems and Technology, Level E Job Title Senior Business Analyst Department OCIO | Program Delivery I Project
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. The role involves leveraging cheminformatics and generative models to design molecules, predict reaction pathways, and optimize materials for applications in sustainability, healthcare, or energy. Expertise
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. Leadership & Learning: Building the next generation of crisis leaders through our Pandemic Fellows Program and global network. Convening & Collaboration: Creating space for interdisciplinary exchange through
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Faculty | Tenure and Tenure Stream | Department of Computer Science | Faculty of Science (Joanna McGrenere) Posting End Date July 31, 2025 Note: Applications will be accepted until 11:59 PM on the Posting
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the lab-based cellular level of understanding SCI, to pre-clinical animal models and rehabilitation and recovery of SCI, ICORD researchers are dedicated to the development and translation of more effective
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vitro models, and high-throughput spatial omics platforms. Publish high-impact research and drive innovations with clear translational potential. Contribute to a global CIFAR program exploring
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
objects come to have meanings. How we recognize and fail to recognize such meanings. The nature, systems, and processes of interpretation. The role of mental models. September 1 to December 31, 2025 (actual
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGMD 276 Schedule: Wednesday and Friday: 1