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implement mitigating strategies to optimize results. Strong attention to detail. Responsive and high degree of flexibility. This role is currently eligible for a hybrid work arrangement, pursuant
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to test, optimize, build analysis tools for, and support scientific research with CanESM. This responsibility extends to user support, to the development of training materials and to organizing learning
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strategy to promote philanthropy across all Advancement programs and activities by leveraging engagement opportunities to optimize outreach and revenue generation. Working with colleagues in Advancement and
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creation, accessibility, user experience and search engine optimization. Experience working with internal clients to collaborate and complete digital communication projects. Experience developing
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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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. 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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discovery. The role involves leveraging cheminformatics and generative models to design molecules, predict reaction pathways, and optimize materials for applications in sustainability, healthcare, or energy
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practical case studies. Students will analyze real-world scenarios to understand how AI and ML are applied in a number of ways including, as a few examples, sport performance optimization, athlete services
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recreational and elite athletes can achieve optimal performance. Topics to be covered throughout the term will include: anxiety, arousal and stress; psychological skills training, motivation, confidence, focus
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Cryo-EM facilities in Toronto, to ensure samples could be transferred to the Titan Krios for high resolution data collection. Optimize Cryo-EM techniques, data analysis workflows, and experiment design