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. A PhD will expand this research to exploit environmental archives (sediments, permafrost soils) and track what types of genes are being exchanged over evolutionary timescales that correspond with
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 1 day ago
the Signals Intelligence (SIGINT) and Cyber missions. You’ll learn and apply advanced cryptanalytic and cryptographic techniques to defeat encryption or to design and evaluate cryptographic algorithms and
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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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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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conducts research that is broadly international, varying in method and theoretical frame that seeks to understand human experience in social, cultural, temporal, and evolutionary contexts. Our program
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of recurring processes. Respond to consulting requests requiring expertise in statistical methodologies and procedures. Provide statistical contributions to data mining operations and algorithm development
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 30 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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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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Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications of computer science in life science Previous
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, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role