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Job Field: CUPE 3902 Unit 3 Faculty / Division: Faculty of Medicine Department: Molecular Genetics Campus: St. George (downtown Toronto) Job Posting: July 30, 2025 Job Closing: August 8, 2025, 11
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, lists, maps. Program structure: control flow, functions, classes, objects, methods. Algorithms and problem solving. Searching, sorting, and complexity. Unit testing. Floating-point numbers and numerical
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, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
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Date Posted: 06/24/2025 Req ID: 43798 Faculty/Division: Temerty Faculty of Medicine Department: Department of Molecular Genetics Campus: St. George (Downtown Toronto) Position Number: 00053750
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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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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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Course Number & Title: BCH 242 Y Introduction to Biochemistry Course Description: This course is offered for Specialist students in Biochemistry, Immunology and Molecular Genetics. It is designed as
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to be explored include but are not limited to ethical considerations in emerging reproductive technologies, genetic alteration/genetic enhancement. Use of life support technologies, synthetic life, life
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; or the training of a machine learning algorithm to read a digitized document written in an under-resourced language. Position description: The University of Toronto Libraries seeks a highly organized, flexible, and