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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
sensing concepts and utilizing remotely sensed data for monitoring land resources and environmental change. Topics include surface-energy interactions, sensor systems, image interpretation, and applications
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
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using biologically relevant materials such as peptides, peptoids, chitosan or lignan Staff Scientists will work with a diverse team of leading experts at U of T, including: Prof. Helen Tran, Prof. Dwight
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team of leading experts at U of T, including: Prof. Helen Tran, Prof. Dwight Seferos, and Acceleration Consortium Staff Scientists. We are hiring both Staff Scientists and Staff Research Scientists
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experts at U of T, including: Prof. Helen Tran, Prof. Dwight Seferos, and Acceleration Consortium Staff Scientists. The Staff Scientists involved in the AC are highly skilled and experienced researchers who
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edge AI for localized knowledge preservation; AI governance and data sovereignty in digital heritage institutions and collections; study and design of recommendation systems and ranking algorithms used
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), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
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, strings, pointer-based data structures and searching and sorting algorithms. The laboratories reinforce the lecture topics and develops essential programming skills. Estimated course enrolment: ~150