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to theoretical and applied concepts in pharmaceutical chemistry, in research, development, and manufacturing contexts. The course is designed with lectures and laboratories covering major areas in pharmaceutical
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integrate approaches from chemistry, physics, geology and biology, and cover techniques in field sampling, laboratory analyses and analyses of large environmental data sets. Basic concepts related to quality
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Date Posted: 06/04/2024 Req ID: 37704 Faculty/Division: Faculty of Arts & Science Department: Dept of Chemistry Campus: St. George (Downtown Toronto) Position Number: 00051019 Description: About us
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community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
and faculty. This Department is a multidisciplinary unit comprised of four primary groups: Chemistry, Environmental Science, Environmental Studies and Physics & Astronomy with faculty who are engaged in
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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the thermodynamics of biological molecules. This course is restricted to Pharmaceutical Chemistry specialist program students. Estimated course enrolment: 15 Estimated TA support: None Class schedule: Winter Term, M12
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also
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academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also