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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
Sessional Lecturer- BIO200H5S: Introduction to Pharmacology: Pharmacokinetic Principles Course description: Topics include absorption, distribution, biotransformation, elimination, calculation
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an SSHRC Partnership Grant, brings together over 55 scholars and 18 institutions across Europe, North Africa, and North and South America. This globally distributed, interdisciplinary collaboration is
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divisions distributed across British Columbia. Specialty training programs are offered in Cardiac Surgery, Colorectal Surgery, General Surgery, Neurosurgery, Otolaryngology, Pediatric Surgery, Plastic Surgery
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policies. Documents code for internal and Open Source distribution and creates user manuals and documentation for end users. Works collaboratively, as part of an Agile software development and learning
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public; - Oversees the printing, dissemination and distribution of promotional materials for events; ADMINISTRATIVE SUPPORT - Schedules and organizes the unit meetings, yearly faculty retreats, prepares
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, staff, and faculty). The timely dissemination of information is necessary to support the Distributed sites in fulfilling their responsibilities. Provides subject matter expertise and project management
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with $44 million in annual research funding. The department has over 300 clinical faculty distributed across all the clinical laboratories within the province. The Department hosts the undergraduate
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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