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of Ecology and Evolutionary Biology Campus: St. George (Downtown Toronto) Description: The Department of Ecology and Evolutionary Biology in the Faculty of Arts & Science at the University of Toronto invites
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, or molecular and evolutionary processes. A Ph.D. and teaching experience would be considered assets. A valid driver’s license is required for off campus courses. Appointment periods include additional days in
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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Date Posted: 10/07/2025 Req ID: 44725 Faculty/Division: Faculty of Arts & Science Department: Ecology and Evolutionary Biology Campus: St. George (Downtown Toronto) Position Number: 00057543
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Date Posted: 10/07/2025 Req ID: 44726 Faculty/Division: Faculty of Arts & Science Department: Ecology and Evolutionary Biology Campus: St. George (Downtown Toronto) Position Number: 00057782
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: Desautels Course Title and Course Number: Enterprise Data Science: Concepts and Algorithms/Enterprise Machine Learning in Production INSY 674/684 Estimated Number of Positions: 1 Total Hours of Work per Term
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findings regularly. Prototype algorithms, validate outputs, and document methods clearly Collaborate asynchronously with an international team, present findings regularly Experience with remote sensing
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analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
where they will be expected to teach a diversity of courses in Medical Anthropology, Evolutionary Anthropology, and Introductory level Archaeology. Candidates must have teaching experience in a degree
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Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications of computer science in life science Previous