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Program Description Master's or PhD students are invited to apply for research visit funding from the Thematic Program on Quantum Algorithms for Differential Equations (the "Program") taking place
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prostate, bladder and kidney cancer). The program will draw on expertise in probabilistic modeling and causal machine learning, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour
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evolutionary context and communicate implications for tropical forest biodiversity and conservation. Produces figures, maps, statistical analyses, and other research outputs for scientific publications, reports
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to delivery of predictive 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
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Expected Enrollment Limit: 70 Location: Prince Albert Qualifications: Minimum of a Master’s degree in Biology or a related subject and experience in cell biology, genetics, molecular and evolutionary
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Computer Science and expertise at the intersection of quantum computing and computer science. Topics of interest include, but are not limited to foundational and applied quantum algorithms, quantum cryptography
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Date Posted: 07/10/2026 Req ID: 49332 Faculty/Division: Faculty of Arts & Science Department: Ecology and Evolutionary Biology Campus: St. George (Downtown Toronto) Position Number: 00059573
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of the data and the different parameters used by algorithms. Subsequently, the course will introduce different qualitative and quantitative methods to assess the quality of the results. All concepts will be
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously
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(Ecology in a Changing World, T1), 301 (Critical Issues in Biology, T1), 302 (Evolutionary Processes, T2), 317 (Fundamentals of Animal Physiology, T1), 323 (Plant Systematics and Evolution, T1), 326 (Plant