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Course description: This course focuses on the fundamental tools of calculus and its connections to engineering. The topics include methods of integration, an introduction to differential equations
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
. (24S) Estimated Course Enrollment: 20 Estimated TA Support: N/A Class Schedule: Thursdays, 5:00 –7:00 Sessional Dates of Appointment: September 1, 2025 - December 31, 2025 Salary: Sessional Lecturer I
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approaches specifically tailored for these low-data applications that are reliable and robust against noise. You will support our team in developing reliable machine learning methods that can be applied
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, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Job Type: Support Staff
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well as practical ways. Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions
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on human health. Provides a foundation for advanced studies in bacterial physiology, bacterial genetics, molecular pathogenesis of disease, immunology, and environmental studies. Estimated TA support: 180 TA
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Job Advertisement 2025-05 23.07.2025 The Leibniz Institute of Atmospheric Physics (IAP) seeks applications for a Data and computer scientist (f/m/d) The position is limited to 2 years with option
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competency testing in the Microbiology Division. Acts as the Quality Assurance specialist and works with the Quality Assurance manager to maintain quality in the Microbiology Division. Oversees studies, method
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, probabilistic viewpoint of ML, etc. Estimated course enrolment: 50 students Estimated TA support: 90 hours of TA support Class schedule: Wednesday 11:00-13:00 *Please note, the delivery method for this course is
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Assist with administrative work, teaching, and research event arrangements Job Requirements: Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent